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  Subjects -> ENGINEERING (Total: 2268 journals)
    - CHEMICAL ENGINEERING (190 journals)
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ENGINEERING (1201 journals)                  1 2 3 4 5 6 7 | Last

Showing 1 - 200 of 1205 Journals sorted alphabetically
3 Biotech     Open Access   (Followers: 7)
3D Research     Hybrid Journal   (Followers: 17)
AAPG Bulletin     Hybrid Journal   (Followers: 7)
AASRI Procedia     Open Access   (Followers: 15)
Abstract and Applied Analysis     Open Access   (Followers: 3)
Aceh International Journal of Science and Technology     Open Access   (Followers: 2)
ACS Nano     Full-text available via subscription   (Followers: 247)
Acta Geotechnica     Hybrid Journal   (Followers: 7)
Acta Metallurgica Sinica (English Letters)     Hybrid Journal   (Followers: 5)
Acta Polytechnica : Journal of Advanced Engineering     Open Access   (Followers: 2)
Acta Scientiarum. Technology     Open Access   (Followers: 3)
Acta Universitatis Cibiniensis. Technical Series     Open Access  
Active and Passive Electronic Components     Open Access   (Followers: 7)
Adaptive Behavior     Hybrid Journal   (Followers: 11)
Adıyaman Üniversitesi Mühendislik Bilimleri Dergisi     Open Access  
Adsorption     Hybrid Journal   (Followers: 4)
Advanced Engineering Forum     Full-text available via subscription   (Followers: 6)
Advanced Science     Open Access   (Followers: 5)
Advanced Science Focus     Free   (Followers: 3)
Advanced Science Letters     Full-text available via subscription   (Followers: 8)
Advanced Science, Engineering and Medicine     Partially Free   (Followers: 7)
Advanced Synthesis & Catalysis     Hybrid Journal   (Followers: 17)
Advances in Calculus of Variations     Hybrid Journal   (Followers: 2)
Advances in Catalysis     Full-text available via subscription   (Followers: 5)
Advances in Complex Systems     Hybrid Journal   (Followers: 7)
Advances in Engineering Software     Hybrid Journal   (Followers: 26)
Advances in Fuel Cells     Full-text available via subscription   (Followers: 16)
Advances in Fuzzy Systems     Open Access   (Followers: 5)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 10)
Advances in Heat Transfer     Full-text available via subscription   (Followers: 22)
Advances in Human Factors/Ergonomics     Full-text available via subscription   (Followers: 26)
Advances in Magnetic and Optical Resonance     Full-text available via subscription   (Followers: 9)
Advances in Natural Sciences: Nanoscience and Nanotechnology     Open Access   (Followers: 29)
Advances in Operations Research     Open Access   (Followers: 11)
Advances in OptoElectronics     Open Access   (Followers: 5)
Advances in Physics Theories and Applications     Open Access   (Followers: 12)
Advances in Polymer Science     Hybrid Journal   (Followers: 41)
Advances in Porous Media     Full-text available via subscription   (Followers: 4)
Advances in Remote Sensing     Open Access   (Followers: 38)
Advances in Science and Research (ASR)     Open Access   (Followers: 6)
Aerobiologia     Hybrid Journal   (Followers: 1)
African Journal of Science, Technology, Innovation and Development     Hybrid Journal   (Followers: 4)
AIChE Journal     Hybrid Journal   (Followers: 31)
Ain Shams Engineering Journal     Open Access   (Followers: 5)
Akademik Platform Mühendislik ve Fen Bilimleri Dergisi     Open Access  
Alexandria Engineering Journal     Open Access   (Followers: 1)
AMB Express     Open Access   (Followers: 1)
American Journal of Applied Sciences     Open Access   (Followers: 28)
American Journal of Engineering and Applied Sciences     Open Access   (Followers: 11)
American Journal of Engineering Education     Open Access   (Followers: 9)
American Journal of Environmental Engineering     Open Access   (Followers: 17)
American Journal of Industrial and Business Management     Open Access   (Followers: 23)
Analele Universitatii Ovidius Constanta - Seria Chimie     Open Access  
Annals of Combinatorics     Hybrid Journal   (Followers: 3)
Annals of Pure and Applied Logic     Open Access   (Followers: 2)
Annals of Regional Science     Hybrid Journal   (Followers: 7)
Annals of Science     Hybrid Journal   (Followers: 7)
Applicable Algebra in Engineering, Communication and Computing     Hybrid Journal   (Followers: 2)
Applicable Analysis: An International Journal     Hybrid Journal   (Followers: 1)
Applied Catalysis A: General     Hybrid Journal   (Followers: 6)
Applied Catalysis B: Environmental     Hybrid Journal   (Followers: 16)
Applied Clay Science     Hybrid Journal   (Followers: 5)
Applied Computational Intelligence and Soft Computing     Open Access   (Followers: 12)
Applied Magnetic Resonance     Hybrid Journal   (Followers: 4)
Applied Nanoscience     Open Access   (Followers: 8)
Applied Network Science     Open Access   (Followers: 1)
Applied Numerical Mathematics     Hybrid Journal   (Followers: 5)
Applied Physics Research     Open Access   (Followers: 3)
Applied Sciences     Open Access   (Followers: 2)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 4)
Arabian Journal for Science and Engineering     Hybrid Journal   (Followers: 5)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 4)
Archives of Foundry Engineering     Open Access  
Archives of Thermodynamics     Open Access   (Followers: 7)
Arkiv för Matematik     Hybrid Journal   (Followers: 1)
ASEE Prism     Full-text available via subscription   (Followers: 3)
Asia-Pacific Journal of Science and Technology     Open Access  
Asian Engineering Review     Open Access  
Asian Journal of Applied Science and Engineering     Open Access   (Followers: 1)
Asian Journal of Applied Sciences     Open Access   (Followers: 2)
Asian Journal of Biotechnology     Open Access   (Followers: 8)
Asian Journal of Control     Hybrid Journal  
Asian Journal of Current Engineering & Maths     Open Access  
Asian Journal of Technology Innovation     Hybrid Journal   (Followers: 8)
Assembly Automation     Hybrid Journal   (Followers: 2)
at - Automatisierungstechnik     Hybrid Journal   (Followers: 1)
ATZagenda     Hybrid Journal  
ATZextra worldwide     Hybrid Journal  
Australasian Physical & Engineering Sciences in Medicine     Hybrid Journal   (Followers: 1)
Australian Journal of Multi-Disciplinary Engineering     Full-text available via subscription   (Followers: 2)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 8)
Avances en Ciencias e Ingeniería     Open Access  
Balkan Region Conference on Engineering and Business Education     Open Access   (Followers: 1)
Bangladesh Journal of Scientific and Industrial Research     Open Access  
Basin Research     Hybrid Journal   (Followers: 5)
Batteries     Open Access   (Followers: 5)
Bautechnik     Hybrid Journal   (Followers: 1)
Bell Labs Technical Journal     Hybrid Journal   (Followers: 23)
Beni-Suef University Journal of Basic and Applied Sciences     Open Access   (Followers: 4)
BER : Manufacturing Survey : Full Survey     Full-text available via subscription   (Followers: 2)
BER : Motor Trade Survey     Full-text available via subscription   (Followers: 1)
BER : Retail Sector Survey     Full-text available via subscription   (Followers: 2)
BER : Retail Survey : Full Survey     Full-text available via subscription   (Followers: 2)
BER : Survey of Business Conditions in Manufacturing : An Executive Summary     Full-text available via subscription   (Followers: 3)
BER : Survey of Business Conditions in Retail : An Executive Summary     Full-text available via subscription   (Followers: 3)
Bharatiya Vaigyanik evam Audyogik Anusandhan Patrika (BVAAP)     Open Access   (Followers: 1)
Biofuels Engineering     Open Access  
Biointerphases     Open Access   (Followers: 1)
Biomaterials Science     Full-text available via subscription   (Followers: 10)
Biomedical Engineering     Hybrid Journal   (Followers: 16)
Biomedical Engineering and Computational Biology     Open Access   (Followers: 13)
Biomedical Engineering Letters     Hybrid Journal   (Followers: 5)
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 17)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 32)
Biomedical Engineering: Applications, Basis and Communications     Hybrid Journal   (Followers: 5)
Biomedical Microdevices     Hybrid Journal   (Followers: 9)
Biomedical Science and Engineering     Open Access   (Followers: 4)
Biomedizinische Technik - Biomedical Engineering     Hybrid Journal  
Biomicrofluidics     Open Access   (Followers: 4)
BioNanoMaterials     Hybrid Journal   (Followers: 2)
Biotechnology Progress     Hybrid Journal   (Followers: 39)
Boletin Cientifico Tecnico INIMET     Open Access  
Botswana Journal of Technology     Full-text available via subscription   (Followers: 1)
Boundary Value Problems     Open Access   (Followers: 1)
Brazilian Journal of Science and Technology     Open Access   (Followers: 2)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 10)
Bulletin of Canadian Petroleum Geology     Full-text available via subscription   (Followers: 14)
Bulletin of Engineering Geology and the Environment     Hybrid Journal   (Followers: 10)
Bulletin of the Crimean Astrophysical Observatory     Hybrid Journal  
Cahiers, Droit, Sciences et Technologies     Open Access  
Calphad     Hybrid Journal  
Canadian Geotechnical Journal     Hybrid Journal   (Followers: 25)
Canadian Journal of Remote Sensing     Full-text available via subscription   (Followers: 43)
Case Studies in Engineering Failure Analysis     Open Access   (Followers: 8)
Case Studies in Thermal Engineering     Open Access   (Followers: 4)
Catalysis Communications     Hybrid Journal   (Followers: 6)
Catalysis Letters     Hybrid Journal   (Followers: 2)
Catalysis Reviews: Science and Engineering     Hybrid Journal   (Followers: 8)
Catalysis Science and Technology     Free   (Followers: 7)
Catalysis Surveys from Asia     Hybrid Journal   (Followers: 3)
Catalysis Today     Hybrid Journal   (Followers: 8)
CEAS Space Journal     Hybrid Journal  
Cellular and Molecular Neurobiology     Hybrid Journal   (Followers: 3)
Central European Journal of Engineering     Hybrid Journal   (Followers: 1)
CFD Letters     Open Access   (Followers: 6)
Chaos : An Interdisciplinary Journal of Nonlinear Science     Hybrid Journal   (Followers: 2)
Chaos, Solitons & Fractals     Hybrid Journal   (Followers: 3)
Chinese Journal of Catalysis     Full-text available via subscription   (Followers: 2)
Chinese Journal of Engineering     Open Access   (Followers: 2)
Chinese Science Bulletin     Open Access   (Followers: 1)
Ciencia e Ingenieria Neogranadina     Open Access  
Ciencia en su PC     Open Access   (Followers: 1)
Ciencias Holguin     Open Access   (Followers: 1)
CienciaUAT     Open Access  
Cientifica     Open Access  
CIRP Annals - Manufacturing Technology     Full-text available via subscription   (Followers: 11)
CIRP Journal of Manufacturing Science and Technology     Full-text available via subscription   (Followers: 14)
City, Culture and Society     Hybrid Journal   (Followers: 22)
Clay Minerals     Full-text available via subscription   (Followers: 10)
Clean Air Journal     Full-text available via subscription   (Followers: 2)
Coal Science and Technology     Full-text available via subscription   (Followers: 3)
Coastal Engineering     Hybrid Journal   (Followers: 11)
Coastal Engineering Journal     Hybrid Journal   (Followers: 5)
Coatings     Open Access   (Followers: 4)
Cogent Engineering     Open Access   (Followers: 2)
Cognitive Computation     Hybrid Journal   (Followers: 4)
Color Research & Application     Hybrid Journal   (Followers: 1)
COMBINATORICA     Hybrid Journal  
Combustion Theory and Modelling     Hybrid Journal   (Followers: 13)
Combustion, Explosion, and Shock Waves     Hybrid Journal   (Followers: 13)
Communications Engineer     Hybrid Journal   (Followers: 1)
Communications in Numerical Methods in Engineering     Hybrid Journal   (Followers: 2)
Components, Packaging and Manufacturing Technology, IEEE Transactions on     Hybrid Journal   (Followers: 26)
Composite Interfaces     Hybrid Journal   (Followers: 6)
Composite Structures     Hybrid Journal   (Followers: 266)
Composites Part A : Applied Science and Manufacturing     Hybrid Journal   (Followers: 188)
Composites Part B : Engineering     Hybrid Journal   (Followers: 279)
Composites Science and Technology     Hybrid Journal   (Followers: 182)
Comptes Rendus Mécanique     Full-text available via subscription   (Followers: 2)
Computation     Open Access  
Computational Geosciences     Hybrid Journal   (Followers: 14)
Computational Optimization and Applications     Hybrid Journal   (Followers: 7)
Computational Science and Discovery     Full-text available via subscription   (Followers: 2)
Computer Applications in Engineering Education     Hybrid Journal   (Followers: 7)
Computer Science and Engineering     Open Access   (Followers: 17)
Computers & Geosciences     Hybrid Journal   (Followers: 28)
Computers & Mathematics with Applications     Full-text available via subscription   (Followers: 5)
Computers and Electronics in Agriculture     Hybrid Journal   (Followers: 4)
Computers and Geotechnics     Hybrid Journal   (Followers: 10)
Computing and Visualization in Science     Hybrid Journal   (Followers: 5)
Computing in Science & Engineering     Full-text available via subscription   (Followers: 30)
Conciencia Tecnologica     Open Access  
Concurrent Engineering     Hybrid Journal   (Followers: 3)
Continuum Mechanics and Thermodynamics     Hybrid Journal   (Followers: 7)
Control and Dynamic Systems     Full-text available via subscription   (Followers: 9)
Control Engineering Practice     Hybrid Journal   (Followers: 42)
Control Theory and Informatics     Open Access   (Followers: 8)
Corrosion Science     Hybrid Journal   (Followers: 25)
CT&F Ciencia, Tecnologia y Futuro     Open Access   (Followers: 1)
CTheory     Open Access  

        1 2 3 4 5 6 7 | Last

Journal Cover Arabian Journal for Science and Engineering
  [SJR: 0.345]   [H-I: 20]   [5 followers]  Follow
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 1319-8025
   Published by Springer-Verlag Homepage  [2352 journals]
  • An Efficient Maximum Power Point Tracking Controller for Photovoltaic
           Systems Using Takagi–Sugeno Fuzzy Models
    • Authors: D. Ounnas; M. Ramdani; S. Chenikher; T. Bouktir
      Pages: 4971 - 4982
      Abstract: This paper proposes a new Takagi–Sugeno (T–S) fuzzy model-based maximum power tracking controller to draw the maximum power from a solar photovoltaic (PV) system. A DC–DC boost converter is used to control the output power from the PV panel. Based on the T–S fuzzy model, the fuzzy maximum power point tracking controller is designed by constructing fuzzy gain state feedback controller and an optimal reference model for the optimal PV output voltage, which corresponds actually to maximum power point (MPP). A comparative study with the two base-line controllers of perturb and observe, and the incremental conductance shows that the proposed controller offers fast dynamic response, much less oscillation around MPP, and superior performance.
      PubDate: 2017-12-01
      DOI: 10.1007/s13369-017-2532-0
      Issue No: Vol. 42, No. 12 (2017)
  • A Novel Square Wave Generator Using Second-Generation Differential Current
    • Authors: Vallabhuni Vijay; Avireni Srinivasulu
      Pages: 4983 - 4990
      Abstract: By using two resistors and a single capacitor with second-generation differential current conveyor as an active element, a new square wave generator is proposed and implemented. The frequency of operation of the introduced model is varied with respect to the variation of remaining passive components. Maximum reduction in noise effects caused by parasitics generated during integrated circuit fabrication is achieved with the scheme of grounded capacitor. The mathematical model of the selected circuit is verified in both simulation and experimental mode and found having matched in all three aspects. The elevated advantages and merits of the given topology are compared and tabulated contrary to the existing standard models. Using Cadence virtuoso with gpdk 180 nm libraries, the circuit is verified with a supply rail voltage of ±2.5 V. Later, prototype is also tested with commercially available current feedback operational amplifiers of AD844AN.
      PubDate: 2017-12-01
      DOI: 10.1007/s13369-017-2539-6
      Issue No: Vol. 42, No. 12 (2017)
  • Design and Simulation of MEMS-Based Digital-to-Analog Converters for
           In-Plane Actuation
    • Authors: P. Pandiyan; G. Uma; M. Umapathy
      Pages: 4991 - 5001
      Abstract: A microelectromechanical system-based digital-to-analog converter (MEMS DAC) using a bent beam electrothermal compliant actuator as a single mechanical bit is proposed in this work. Two types of MEMS DAC namely asymmetric and symmetric structures with multi-bent beam actuators in a chevron arrangement are designed, modeled and simulated in MEMS CAD tool CoventorWare. The proposed DACs generate the mechanical displacement at the output from the digital input based on the principle of weighted stiffness which is analogous to an electronic weighted resistor DAC. The DACs are built using a standard SOIMUMPs process, and its coupled electrothermomechanical analysis is carried out to illustrate their performance. The device operates on 5 V which is well suited with conventional CMOS logic and in turn reduces the power consumption of the device. The simulation result shows that symmetric and asymmetric MEMS DACs produce a nonlinear error of 0.5 and 3.5% from its ideal straight line. The nonlinearity error is found to be less in symmetric design due to equal width of bent beam.
      PubDate: 2017-12-01
      DOI: 10.1007/s13369-017-2544-9
      Issue No: Vol. 42, No. 12 (2017)
  • Solution to Fault Detection During Power Swing Using Teager–Kaiser
           Energy Operator
    • Authors: Jitendra Kumar; Premalata Jena
      Pages: 5003 - 5013
      Abstract: The selectivity property of distance relay is affected due to the operation of power swing blocking element which is used to prevent the false tripping imposed by power swing. Therefore, the fault detection algorithm is required to overcome such type of problems. Further, the fault detection during power swing for a series-compensated line is more challenging as the metal oxide varistor protecting the series capacitor imposes other frequency components and adds transients in the voltage and current signals. To resolve such protection challenges, this paper proposes an integrated approach for fault detection, which is based on Teager–Kaiser energy operators of instantaneous zero sequence voltage (Scheme 1) and phasor of negative sequence current (Scheme 2). Instantaneous zero sequence voltage appears only for unsymmetrical ground faults, and it is not affected by current transformer saturation. Other types of faults such as symmetrical, line-to-line faults are detected by Scheme 2, which is immune to capacitor coupling voltage transformer transients. However, both the schemes cover all fault scenarios. The main advantage of proposed scheme is that it is independent of the threshold. It is also not influenced by voltage and current inversions imposed by series capacitor and can detect the fault within 3 ms. The proposed scheme is validated using voltage and current data obtained by simulating 400 kV, 50 Hz, 9-bus multi-machine system using PSCAD/EMTDC. Further, to validate the proposed scheme in real time, the experiments are also carried out on real-time digital simulator.
      PubDate: 2017-12-01
      DOI: 10.1007/s13369-017-2538-7
      Issue No: Vol. 42, No. 12 (2017)
  • High Impedance Fault Localization Using Discrete Wavelet Transform for
           Single Line to Ground Fault
    • Authors: Mohd Syukri Ali; Ab Halim Abu Bakar; ChiaKwang Tan; Hamzah Arof; Hazlie Mokhlis; Mohamad Sofian Abu Talip
      Pages: 5031 - 5044
      Abstract: This paper presents a new approach to determine the high impedance fault location in a distribution network using discrete wavelet transform (DWT). The technique comprises three stages which are fault impedance identification, faulty section localization and fault distance estimation. First, the transient voltage and current waveforms are analyzed using DWT to obtain the energy values of its coefficients. Then artificial neural network is utilized to predict the fault impedance value. Next, the database and trigonometry techniques are used to localize the faulty section and fault distance successively. The proposed method is used to detect single line to ground faults on a 38-node distribution simulated network created using the PSCAD/EMTDC software. The output waveforms are analyzed using MATLAB. The fault impedance and fault distance can be estimated with errors of less than 0.42 and 2.37%, respectively, while the faulty section can be determined within the 6th rank. The encouraging results show that the approach is capable of determining the fault impedance value, localizing the faulty section and estimating the fault distance under various fault inception angles, fault impedances and fault distances.
      PubDate: 2017-12-01
      DOI: 10.1007/s13369-017-2545-8
      Issue No: Vol. 42, No. 12 (2017)
  • Robust Composite Adaptive Fuzzy Identification Control of Uncertain MIMO
           Nonlinear Systems in the Presence of Input Saturation
    • Authors: Hesam Fallah Ghavidel; Ali Akbarzadeh Kalat
      Pages: 5045 - 5058
      Abstract: Adaptive fuzzy control methods are very interesting because of their robustness against uncertainties. In this paper, a robust composite adaptive fuzzy controller for a class of MIMO nonlinear systems in the presence of input saturation is presented. Using the modeling error between the plant states and a serial–parallel identification model, an adaptive fuzzy system is employed to approximate the unknown uncertainties of the system and in addition, each subsystem of MIMO system is able to adaptively estimate and compensate uncertainties and disturbances with unknown bounds. A robust \(H_{\infty }\) control term is designed to remove the influence of fuzzy approximation errors. Stability of the proposed method is guaranteed based on Lyapunov theory. Finally, in our simulation studies, to demonstrate the usefulness and effectiveness of the proposed technique, a two-link robot manipulator is employed.
      PubDate: 2017-12-01
      DOI: 10.1007/s13369-017-2552-9
      Issue No: Vol. 42, No. 12 (2017)
  • Smooth Integration of Gansu Wind Farm into the Grid Using the Stator
           Flux-Oriented Vector Method and Fuzzy Logic Control
    • Authors: Mostafa Kheshti; Xiaoning Kang; Yasenjiang Jiarula
      Pages: 5059 - 5069
      Abstract: Gansu province wind energy potential in China is around 237 GW. According to the schedule, 20 GW wind energy is connected to the grid by 2020. However, there is a chance of instability in the presence of big intermittency. To integrate this huge generated wind power, a reliable control strategy is required. The proposed portable power plant (PPP) energy storage system is fully compatible with a smart grid and mitigates the dispatching complexity and provides better designing and implementation of Gansu wind farm in China. In a two-way power flow, when the generation is bigger than the load demand, the additional power is stored in the PPP for future use, and when the demand is higher than the total generation, the stored power is applied to feed the grid. Also the PPP can charge the grid during peak demand periods or when the local network is stressed. An intelligent controller is linked with PPP to monitor the power flow. The stator flux-oriented vector method is used for modeling the system. Then, a fuzzy controller is applied to adjust the modulation index of PWM inverter and also uses energy storage units to stabilize the output of the power plant. Real field data of the Gansu wind farm with 24-h horizon have been applied on the proposed system. The results show the high performance of the fuzzy-based PPP system in the presence of fluctuations and increase the efficiency of the power system by storing energy through PPP. With a large-scale plan for application of smart grid and renewable energy sources in China, this paper introduces an essential step of this vision to provide a feasible framework for future large-scale smart grid projects in China as well as stable operation of Gansu wind farm as the biggest wind farm in mainland when it is completed.
      PubDate: 2017-12-01
      DOI: 10.1007/s13369-017-2596-x
      Issue No: Vol. 42, No. 12 (2017)
  • Intelligent Distributed Control Techniques for Effective Current Sharing
           and Voltage Regulation in DC Distributed Systems
    • Authors: Shivam; Ratna Dahiya
      Pages: 5071 - 5081
      Abstract: The droop control method is a basic technique for parallel operation of source converters. The cable line resistance of source converters is one of the causes for circulating current, degradation of load sharing, and poor voltage regulation in DC microgrid application. The control objective of microgrid is to minimize trade-off between bus voltage regulation and effective current sharing. The distributed control technique based on droop control is superior among other control technique in terms of expandability and reliability. This paper presents a distributed control technique which not only helps an effective solution for parallel operation of source converters, but also facilitates availability of maximum power to the load. The droop resistance of distributed controller is adjusted by using a fuzzy inference system in order to reduce the bus voltage degradation. This proposed scheme offers simplicity and robust control over the existing distributed control scheme. The performance of the DC microgrid which consists of three source converters with different cable line resistances and common load is verified in the MATLAB/Simulink environment.
      PubDate: 2017-12-01
      DOI: 10.1007/s13369-017-2576-1
      Issue No: Vol. 42, No. 12 (2017)
  • Performance Analysis and Experimental Validation of 2-DOF Fractional-Order
           Controller for Underactuated Rotary Inverted Pendulum
    • Authors: Prakash Dwivedi; Sandeep Pandey; Anjali Junghare
      Pages: 5121 - 5145
      Abstract: Several numbers of controllers are developed and implemented to enhance the performance of rotary single inverted pendulum (RSIP). This paper addresses a new two-degree-of-freedom (2-DOF) fractional control strategy for RSIP, which is a composition of feedback and feed-forward paths. Primary controller relates the perturbation attenuation, while the secondary controller is accountable for set point tracking. The pole placement technique is used for the design of 2-DOF proportional integral derivative (2-DOF PID) controller. In order to intensify the potentiality of 2-DOF PID controller, it is supplemented with fractional calculus. The tuning of fractional parameters is done by frequency domain analysis using the Nyquist plot. The proposed 2-DOF fractional-order PID controller is materialized on RSIP system which out turns the outstanding experimental results for both stabilization and trajectory tracking tasks. The system is investigated for stability, sensitivity and robustness, which confirms the ability of the proposed controller to reject the external random perturbations.
      PubDate: 2017-12-01
      DOI: 10.1007/s13369-017-2618-8
      Issue No: Vol. 42, No. 12 (2017)
  • Smooth Higher-Order Sliding Mode Control of a Class of Underactuated
           Mechanical Systems
    • Authors: Ibrahim Shah; Fazal ur Rehman
      Pages: 5147 - 5164
      Abstract: This paper investigates the application of smooth higher-order sliding mode (HOSM) control to a class of underactuated mechanical systems. Underactuated mechanical systems have increasing practical importance, but their strong nonlinear behavior and increased vulnerability to uncertainties due to the absence of actuators for some of the configuration variables make the control design problem a challenging task. Sliding mode control (SMC) has the most effective role in controlling such strong nonlinear uncertain systems. However, the standard SMC has chattering in the control action, which is undesired and practically not applicable, especially in mechanical control systems. To achieve smooth control and robustness needed for underactuated mechanical systems, smooth HOSM control laws based on the Super-Twisting Algorithm and the Smooth Super-Twisting Algorithm are proposed. Closed-form analytic expressions are derived for performance design parameters of the sliding surface. These expressions determine the performance of the sliding mode dynamics and also guarantee its stability. For comparison of the results, a standard SMC law is also presented and its merits/demerits are discussed. The design procedure is illustrated by applying it to two well-known cases of the Beam-and-Ball system and the Cart–Pole system as representative examples of the class. Numerical simulation results verify the enhanced control performance and robustness of the theoretical work.
      PubDate: 2017-12-01
      DOI: 10.1007/s13369-017-2617-9
      Issue No: Vol. 42, No. 12 (2017)
  • A New Method to Tune a Fractional-Order PID Controller for a Twin Rotor
           Aerodynamic System
    • Authors: Omar Waleed Abdulwahhab; Nizar Hadi Abbas
      Pages: 5179 - 5189
      Abstract: This paper proposes a new method to tune a fractional-order Proportional–Integral–Derivative controller (also called \(\mathrm {P}\mathrm {I}^{\uplambda }\mathrm {D}^{\upmu }\) ) for a Twin Rotor Aerodynamic System, which is a nonlinear highly coupled Multi-Input–Multi-Output system. The five parameters of the controller are tuned using optimization to minimize a performance index which is a weighted sum of absolute values of four frequency domain specifications: gain crossover frequency, phase margin, ISO damping property (to be robust against process gain variation), and magnitude peak value at the resonant frequency, where the latter is the new control design specification that is suggested by this paper. The performance of the proposed controller is compared with that of an integer-order Proportional–Integral–Derivative (PID) controller. Simulation results shows that the fractional-order controller outperforms its integer-order counterpart in minimizing the performance index, which results in satisfying the required design specification more accurately. This is demonstrated by first testing the performance of the of the closed-loop system where the fractional-order controller gives better performance than the integer-order controller and second by testing the robustness of the system by changing one of the process parameters, where the fractional-order controller is much more robust, unlike the integer-order controller where the closed-loop system becomes unstable.
      PubDate: 2017-12-01
      DOI: 10.1007/s13369-017-2629-5
      Issue No: Vol. 42, No. 12 (2017)
  • On the Capacity of Underlay Cognitive Radio Networks Over Shadowed
           Multipath Fading Channels
    • Authors: Majid H. Khoshafa; Saad Al-Ahmadi
      Pages: 5191 - 5199
      Abstract: Cognitive radio is of great interest for current and future wireless communications. In this paper, the capacity of underlay cognitive radio networks is studied where closed-form expressions for both the ergodic capacity and the outage capacity of the secondary user (SU) are derived. The obtained results reveal new details on the joint effect of multipath fading and shadowing on the capacity of the SU where the increase of the ergodic capacity and degradation of the outage capacity due to heavy shadowing are demonstrated and quantified. Furthermore, the analytical results are verified by Monte-Carlo simulations for different fading scenarios.
      PubDate: 2017-12-01
      DOI: 10.1007/s13369-017-2688-7
      Issue No: Vol. 42, No. 12 (2017)
  • Efficient and Reliable Modulation Classification for MIMO Systems
    • Authors: Mohammad Rida Bahloul; Mohd Zuki Yusoff; Abdel-Haleem Abdel-Aty; Mohd Naufal Saad; Anis Laouiti
      Pages: 5201 - 5209
      Abstract: In this paper, an efficient and reliable feature-fusion-based modulation classification (MC) algorithm for multiple-input multiple-output (MIMO) systems is developed. It uses two higher-order cumulants of the transmitted signal streams to classify a broad set of modulation types with no prior knowledge of the channel state information. We address the problem of the soft-decision fusion for the feature-fusion-based MC algorithms for MIMO systems and introduce an optimal soft-decision fusion scheme to find the classification result. The complexity order of the proposed MC algorithm is studied in detail to demonstrate its low computation cost, and its performance is validated extensively by simulation results to show its practical effectiveness.
      PubDate: 2017-12-01
      DOI: 10.1007/s13369-017-2730-9
      Issue No: Vol. 42, No. 12 (2017)
  • Design and Simulation of a Hybrid PD-ANFIS Controller for Attitude
           Tracking Control of a Quadrotor UAV
    • Authors: Shahida Khatoon; Ibraheem Nasiruddin; Mohammad Shahid
      Pages: 5211 - 5229
      Abstract: Optimal gain scheduling of conventional PID controller for simultaneous disturbance rejection and faster settling time capabilities is very difficult to achieve for quadrotor system. The nonlinear system dynamics and unstable behavior of quadrotor require a more advanced attitude tracking stabilization. Therefore, in this paper a novel hybrid PD-adaptive neuro-fuzzy interface system controller design is presented. The simulation results of the proposed hybrid controller are compared with conventional PD, PID and fuzzy logic controller. The comparative study of the dynamic response plots reveals that the proposed hybrid controller is able to exhibit better results in terms of response time, robustness and better disturbance rejection capability.
      PubDate: 2017-12-01
      DOI: 10.1007/s13369-017-2586-z
      Issue No: Vol. 42, No. 12 (2017)
  • A Two-Stage Hierarchical Bilingual Emotion Recognition System Using a
           Hidden Markov Model and Neural Networks
    • Authors: Mohamed Deriche; Ahmed H. Abo absa
      Pages: 5231 - 5249
      Abstract: Speech emotion recognition continues to attract a lot of research especially under mixed-language scenarios. Here, we show that emotion is language dependent and that enhanced emotion recognition systems can be built when the language is known. We propose a two-stage emotion recognition system that starts by identifying the language, followed by a dedicated language-dependent recognition system for identifying the type of emotion. The system is able to recognize accurately the four main types of emotion, namely neutral, happy, angry, and sad. These types of emotion states are widely used in practical setups. To keep the computation complexity low, we identify the language using a feature vector consisting of energies from a basic wavelet decomposition. A hidden Markov model (HMM) is then used to track the changes of this vector to identify the language, achieving recognition accuracy close to 100%. Once the language is identified, a set of speech processing features including pitch and MFCCs are used with a neural network (NN) architecture to identify the emotion type. The results show that that identifying the language first can substantially improve the overall accuracy in identifying emotions. The overall accuracy achieved with the proposed system reached more than 93%. To test the robustness of the proposed methodology, we also used a Gaussian mixture model (GMM) for both language identification and emotion recognition. Our proposed HMM-NN approach showed a better performance than the GMM-based approach. More importantly, we tested the proposed algorithm with 6 emotions which are showed that the overall accuracy continues to be excellent, while the performance of the GMM-based approach deteriorates substantially. It is worth noting that the performance we achieved is close to the one attained for single language emotion recognition systems and outperforms by far recognition systems without language identification (around 60%). The work shows the strong correlation between language and type of emotion, and can further be extended to other scenarios including gender-based, facial expression-based, and age-based emotion recognition.
      PubDate: 2017-12-01
      DOI: 10.1007/s13369-017-2742-5
      Issue No: Vol. 42, No. 12 (2017)
  • Cholesky Factorization-Based Parallel Factor for Azimuth and Elevation
           Angles Estimation
    • Authors: Nizar Tayem
      Pages: 5251 - 5262
      Abstract: In this paper, the problem of estimating the two-dimensional direction of arrival angles with automatic pair matching for multiple non-coherent sources is presented. The proposed method employs Cholesky factorization for a Hermitian positive-definite covariance matrix in conjunction with parallel factor (PARAFAC) and trilinear alternative least squares method. The proposed method offers several advantages compared with well-known eigenvalue decomposition (EVD)-based methods. First, it provides fast execution since Cholesky factorization requires O( \(n^{3}\) /6) number of operations, whereas EVD requires \(O(n^{3})\) . Second, it is suitable for hardware implementation using field-programmable gate arrays. Third, it provides significantly lower memory requirements since only the lower triangular matrix of Cholesky factorization requires to be stored. Fourth, it applies PARAFAC model to the signal space with a smaller dimension compared with the conventional PARAFAC model that is applied directly to noise data without preprocessing. Hence, the proposed method provides better performance and less computational cost and processing time compared with the conventional PARAFAC model. Computer simulation results demonstrate the effectiveness of the proposed method.
      PubDate: 2017-12-01
      DOI: 10.1007/s13369-017-2678-9
      Issue No: Vol. 42, No. 12 (2017)
  • Delay-Dependent Robust $$H_\infty $$ H ∞ Filtering with Lossy
           Measurements for Discrete-Time Systems
    • Authors: Aziza Zabari; El Houssaine Tissir; Fernando Tadeo
      Pages: 5263 - 5273
      Abstract: The design of robust \(H_\infty \) filters for discrete-time systems with delays and lossy measurements is solved in this paper, when the uncertain parameters lie inside a given convex polytope, and measurements are lost following a binary switching sequence satisfying a conditional probability distribution. Delay-dependent \(H_\infty \) filters are designed, which ensure that the filtering error system is exponentially mean-square stable, and that a given \(H_\infty \) level of disturbance attenuation is achieved for the admissible uncertainties and lossy measurements. Less conservative results are obtained, compared with previous results, which are established in terms of LMIs. An iterative algorithm from numerical optimization ideas is proposed to design the filter. Three numerical examples illustrate the applicability of the proposed methodology.
      PubDate: 2017-12-01
      DOI: 10.1007/s13369-017-2608-x
      Issue No: Vol. 42, No. 12 (2017)
  • Some Picture Fuzzy Aggregation Operators and Their Applications to
           Multicriteria Decision-Making
    • Authors: Harish Garg
      Pages: 5275 - 5290
      Abstract: The objective of the work is to present some series of the aggregation operators for the picture fuzzy sets (PFSs). As PFSs have been an extended version of the intuitionistic fuzzy set theory which not only considers the degree of acceptance or rejection but also taken into the account the degree of refusal during the analysis. Thus, by considering all these degrees, some aggregation operators, namely picture fuzzy weighted average, picture fuzzy ordered weighted average, and picture fuzzy hybrid average aggregation operators, have been proposed along with their desirable properties. A decision-making approach based on these operators has also been presented. Finally, an illustrative example has been given for demonstrating the approach.
      PubDate: 2017-12-01
      DOI: 10.1007/s13369-017-2625-9
      Issue No: Vol. 42, No. 12 (2017)
  • A System Dynamics Model for Determining the Traffic Congestion Charges and
    • Authors: Shuwei Jia; Guangle Yan; Aizhong Shen; Jun Zheng
      Pages: 5291 - 5304
      Abstract: In view of the urban traffic congestion and vehicle exhaust pollution, this paper utilizes the system dynamics method to establish a traffic congestion pricing management model from the perspective of environmental and social benefits. Firstly, the charge policy in Shanghai is introduced to test, validate and simulate the model to get a relatively reasonable range of congestion charges. The results show that this policy reduces the supply level of public transport (SLPT). To this end, this paper further introduces the subsidy mechanism to improve the model and adopts the sensitivity analysis and marginal decreasing (increasing) effects to explore the reasonable subsidy range. Secondly, the combination schemes such as zero subsidy and low charge, zero subsidy and high charge, and high charge and subsidy are conducted with dynamic simulation and comparison to obtain a relatively satisfactory solution. Finally, the implementation effect of the scheme is simulated to obtain the following results: The degree of traffic congestion and amount of \(\hbox {NO}_{\mathrm{X}}\) emissions decreased by 70.27 and \(19.92\%\) after the implementation of the policy, respectively. The SLPT increased by approximately \(123.67\%\) . This verifies the rationality, validity and practicability of the model.
      PubDate: 2017-12-01
      DOI: 10.1007/s13369-017-2637-5
      Issue No: Vol. 42, No. 12 (2017)
  • An Integrated Fuzzy TOPSIS-Knapsack Problem Model for Order Selection in a
    • Authors: Yusuf Tansel İç; Melis Özel; İmdat Kara
      Pages: 5321 - 5337
      Abstract: In this study, a new model has been developed for the order selection problem for a bakery firm located in Turkey. We consider a combined order selection and process planning problem where a make-to-order bakery goods producer firm has to determine a set of orders to process so as to maximize the total profit. The developed model combines setup costs, sales price, lot size, demand and other important daily data of the products. After collecting the related data, fuzzy TOPSIS method is used to obtain the rankings of the orders (bread types). Then, the ranking scores are incorporated in the knapsack problem to determine the lot size and which orders to select. A computer application is also provided in the paper. With the help of MS Excel Visual Basic program, the computer application updates data daily, ranks the products, determines the lot size, and helps the decision maker with the selection of orders. The computational results show that the proposed method presented better results than the current method applied in the firm. Comparing the two methods in terms of cost reduction, the proposed method gives better results than the current method with 27%. Furthermore, the proposed computer program does not need extra special software or a commercial computer program, which is favorable for small-size enterprises.
      PubDate: 2017-12-01
      DOI: 10.1007/s13369-017-2809-3
      Issue No: Vol. 42, No. 12 (2017)
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
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