Publisher: Inderscience Publishers   (Total: 447 journals)

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Showing 201 - 400 of 447 Journals sorted alphabetically
Intl. J. of Indian Culture and Business Management     Hybrid Journal  
Intl. J. of Industrial and Systems Engineering     Hybrid Journal   (Followers: 11, SJR: 0.34, CiteScore: 1)
Intl. J. of Industrial Electronics and Drives     Hybrid Journal   (Followers: 3)
Intl. J. of Information and Coding Theory     Hybrid Journal   (Followers: 7)
Intl. J. of Information and Communication Technology     Hybrid Journal   (Followers: 8, SJR: 0.13, CiteScore: 0)
Intl. J. of Information and Computer Security     Hybrid Journal   (Followers: 16, SJR: 0.141, CiteScore: 0)
Intl. J. of Information and Decision Sciences     Hybrid Journal   (Followers: 10, SJR: 0.233, CiteScore: 1)
Intl. J. of Information and Operations Management Education     Hybrid Journal   (Followers: 8)
Intl. J. of Information Privacy, Security and Integrity     Hybrid Journal   (Followers: 27)
Intl. J. of Information Quality     Hybrid Journal   (Followers: 3, SJR: 0.111, CiteScore: 0)
Intl. J. of Information Systems and Change Management     Hybrid Journal   (Followers: 12, SJR: 0.141, CiteScore: 0)
Intl. J. of Information Systems and Management     Hybrid Journal   (Followers: 4)
Intl. J. of Information Technology and Management     Hybrid Journal   (Followers: 12, SJR: 0.12, CiteScore: 0)
Intl. J. of Information Technology, Communications and Convergence     Hybrid Journal   (Followers: 16)
Intl. J. of Innovation and Learning     Hybrid Journal   (Followers: 25, SJR: 0.26, CiteScore: 1)
Intl. J. of Innovation and Regional Development     Hybrid Journal   (Followers: 7)
Intl. J. of Innovation and Sustainable Development     Hybrid Journal   (Followers: 10, SJR: 0.271, CiteScore: 1)
Intl. J. of Innovation in Education     Hybrid Journal   (Followers: 9)
Intl. J. of Innovative Computing and Applications     Hybrid Journal   (Followers: 3, SJR: 0.144, CiteScore: 1)
Intl. J. of Instrumentation Technology     Hybrid Journal   (Followers: 6)
Intl. J. of Integrated Supply Management     Hybrid Journal   (Followers: 4, SJR: 0.263, CiteScore: 1)
Intl. J. of Intellectual Property Management     Hybrid Journal   (Followers: 30, SJR: 0.101, CiteScore: 0)
Intl. J. of Intelligence and Sustainable Computing     Hybrid Journal   (Followers: 1)
Intl. J. of Intelligent Defence Support Systems     Hybrid Journal   (Followers: 5)
Intl. J. of Intelligent Engineering Informatics     Hybrid Journal  
Intl. J. of Intelligent Enterprise     Hybrid Journal   (Followers: 1, SJR: 0.138, CiteScore: 0)
Intl. J. of Intelligent Information and Database Systems     Hybrid Journal   (Followers: 3, SJR: 0.11, CiteScore: 0)
Intl. J. of Intelligent Internet of Things Computing     Hybrid Journal   (Followers: 1)
Intl. J. of Intelligent Machines and Robotics     Hybrid Journal   (Followers: 1)
Intl. J. of Intelligent Systems Design and Computing     Hybrid Journal  
Intl. J. of Intelligent Systems Technologies and Applications     Hybrid Journal   (Followers: 2, SJR: 0.152, CiteScore: 0)
Intl. J. of Intercultural Information Management     Hybrid Journal   (Followers: 12)
Intl. J. of Internet and Enterprise Management     Hybrid Journal   (Followers: 1)
Intl. J. of Internet Manufacturing and Services     Hybrid Journal   (Followers: 1, SJR: 0.118, CiteScore: 0)
Intl. J. of Internet Marketing and Advertising     Hybrid Journal   (Followers: 20, SJR: 0.223, CiteScore: 1)
Intl. J. of Internet of Things and Cyber-Assurance     Hybrid Journal  
Intl. J. of Internet Protocol Technology     Hybrid Journal   (Followers: 2, SJR: 0.139, CiteScore: 1)
Intl. J. of Internet Technology and Secured Transactions     Hybrid Journal   (Followers: 8, SJR: 0.217, CiteScore: 0)
Intl. J. of Inventory Research     Hybrid Journal   (Followers: 2)
Intl. J. of Islamic Marketing and Branding     Hybrid Journal   (Followers: 6)
Intl. J. of Knowledge and Learning     Hybrid Journal   (Followers: 4, SJR: 0.103, CiteScore: 0)
Intl. J. of Knowledge and Web Intelligence     Hybrid Journal   (Followers: 42)
Intl. J. of Knowledge Engineering and Data Mining     Hybrid Journal   (Followers: 42)
Intl. J. of Knowledge Engineering and Soft Data Paradigms     Hybrid Journal   (Followers: 2)
Intl. J. of Knowledge Management in Tourism and Hospitality     Hybrid Journal   (Followers: 3)
Intl. J. of Knowledge Management Studies     Hybrid Journal   (Followers: 32, SJR: 0.111, CiteScore: 0)
Intl. J. of Knowledge-Based Development     Hybrid Journal   (Followers: 5, SJR: 0.278, CiteScore: 1)
Intl. J. of Lean Enterprise Research     Hybrid Journal   (Followers: 2)
Intl. J. of Learning and Change     Hybrid Journal   (Followers: 12, SJR: 0.189, CiteScore: 0)
Intl. J. of Learning and Intellectual Capital     Hybrid Journal   (Followers: 2, SJR: 0.228, CiteScore: 1)
Intl. J. of Learning Technology     Hybrid Journal   (Followers: 9, SJR: 0.184, CiteScore: 1)
Intl. J. of Leisure and Tourism Marketing     Hybrid Journal   (Followers: 20)
Intl. J. of Liability and Scientific Enquiry     Hybrid Journal   (Followers: 1)
Intl. J. of Lifecycle Performance Engineering     Hybrid Journal   (Followers: 1)
Intl. J. of Logistics Economics and Globalisation     Hybrid Journal   (Followers: 6)
Intl. J. of Logistics Systems and Management     Hybrid Journal   (Followers: 12, SJR: 0.371, CiteScore: 1)
Intl. J. of Low Radiation     Hybrid Journal   (Followers: 1, SJR: 0.115, CiteScore: 0)
Intl. J. of Machine Intelligence and Sensory Signal Processing     Hybrid Journal   (Followers: 4)
Intl. J. of Machining and Machinability of Materials     Hybrid Journal   (Followers: 6, SJR: 0.408, CiteScore: 1)
Intl. J. of Management and Decision Making     Hybrid Journal   (Followers: 7, SJR: 0.233, CiteScore: 1)
Intl. J. of Management and Enterprise Development     Hybrid Journal   (SJR: 0.164, CiteScore: 0)
Intl. J. of Management and Network Economics     Hybrid Journal  
Intl. J. of Management Concepts and Philosophy     Hybrid Journal   (Followers: 3)
Intl. J. of Management Development     Hybrid Journal   (Followers: 11)
Intl. J. of Management in Education     Hybrid Journal   (Followers: 8, SJR: 0.209, CiteScore: 0)
Intl. J. of Management Practice     Hybrid Journal   (Followers: 4, SJR: 0.127, CiteScore: 0)
Intl. J. of Managerial and Financial Accounting     Hybrid Journal   (Followers: 9, SJR: 0.195, CiteScore: 1)
Intl. J. of Manufacturing Research     Hybrid Journal   (Followers: 8, SJR: 0.411, CiteScore: 1)
Intl. J. of Manufacturing Technology and Management     Hybrid Journal   (Followers: 9, SJR: 0.159, CiteScore: 0)
Intl. J. of Markets and Business Systems     Hybrid Journal  
Intl. J. of Masonry Research and Innovation     Hybrid Journal   (Followers: 1)
Intl. J. of Mass Customisation     Hybrid Journal  
Intl. J. of Materials and Product Technology     Hybrid Journal   (Followers: 3, SJR: 0.23, CiteScore: 1)
Intl. J. of Materials and Structural Integrity     Hybrid Journal   (Followers: 8, SJR: 0.369, CiteScore: 0)
Intl. J. of Materials Engineering Innovation     Hybrid Journal   (Followers: 2, SJR: 0.178, CiteScore: 0)
Intl. J. of Mathematical Modelling and Numerical Optimisation     Hybrid Journal   (Followers: 6, SJR: 0.157, CiteScore: 0)
Intl. J. of Mathematics in Operational Research     Hybrid Journal   (Followers: 1, SJR: 0.322, CiteScore: 1)
Intl. J. of Mechanisms and Robotic Systems     Hybrid Journal   (Followers: 1)
Intl. J. of Mechatronics and Automation     Hybrid Journal   (Followers: 6, SJR: 0.129, CiteScore: 1)
Intl. J. of Mechatronics and Manufacturing Systems     Hybrid Journal   (Followers: 2, SJR: 0.199, CiteScore: 0)
Intl. J. of Medical Engineering and Informatics     Hybrid Journal   (Followers: 4, SJR: 0.181, CiteScore: 0)
Intl. J. of Metadata, Semantics and Ontologies     Hybrid Journal   (Followers: 11, SJR: 0.173, CiteScore: 1)
Intl. J. of Metaheuristics     Hybrid Journal   (Followers: 1)
Intl. J. of Microstructure and Materials Properties     Hybrid Journal   (Followers: 8, SJR: 0.148, CiteScore: 0)
Intl. J. of Migration and Border Studies     Hybrid Journal   (Followers: 18)
Intl. J. of Migration and Residential Mobility     Hybrid Journal   (Followers: 10)
Intl. J. of Mining and Mineral Engineering     Hybrid Journal   (Followers: 8, SJR: 0.232, CiteScore: 1)
Intl. J. of Mobile Communications     Hybrid Journal   (Followers: 9, SJR: 0.665, CiteScore: 2)
Intl. J. of Mobile Learning and Organisation     Hybrid Journal   (Followers: 17, SJR: 0.85, CiteScore: 2)
Intl. J. of Mobile Network Design and Innovation     Hybrid Journal   (Followers: 2, SJR: 0.123, CiteScore: 1)
Intl. J. of Modelling in Operations Management     Hybrid Journal   (Followers: 4)
Intl. J. of Modelling, Identification and Control     Hybrid Journal   (Followers: 1, SJR: 0.401, CiteScore: 2)
Intl. J. of Monetary Economics and Finance     Hybrid Journal   (Followers: 9, SJR: 0.237, CiteScore: 1)
Intl. J. of Multicriteria Decision Making     Hybrid Journal   (Followers: 8, SJR: 0.181, CiteScore: 0)
Intl. J. of Multimedia Intelligence and Security     Hybrid Journal   (Followers: 9)
Intl. J. of Multinational Corporation Strategy     Hybrid Journal  
Intl. J. of Multivariate Data Analysis     Hybrid Journal   (Followers: 2)
Intl. J. of Nano and Biomaterials     Hybrid Journal   (Followers: 9, SJR: 0.111, CiteScore: 0)
Intl. J. of Nanomanufacturing     Hybrid Journal   (SJR: 0.17, CiteScore: 0)
Intl. J. of Nanoparticles     Hybrid Journal   (Followers: 1, SJR: 0.167, CiteScore: 1)
Intl. J. of Nanotechnology     Hybrid Journal   (Followers: 7, SJR: 0.202, CiteScore: 0)
Intl. J. of Network Science     Hybrid Journal   (Followers: 3)
Intl. J. of Networking and Virtual Organisations     Hybrid Journal   (Followers: 14, SJR: 0.163, CiteScore: 0)
Intl. J. of Nonlinear Dynamics and Control     Hybrid Journal   (Followers: 5)
Intl. J. of Nuclear Desalination     Hybrid Journal   (Followers: 1)
Intl. J. of Nuclear Energy Science and Technology     Hybrid Journal   (Followers: 3, SJR: 0.246, CiteScore: 0)
Intl. J. of Nuclear Governance, Economy and Ecology     Hybrid Journal   (Followers: 1)
Intl. J. of Nuclear Hydrogen Production and Applications     Hybrid Journal   (Followers: 1)
Intl. J. of Nuclear Knowledge Management     Hybrid Journal   (Followers: 1)
Intl. J. of Nuclear Law     Hybrid Journal   (Followers: 4)
Intl. J. of Nuclear Safety and Security     Hybrid Journal   (Followers: 1)
Intl. J. of Ocean Systems Management     Hybrid Journal   (Followers: 3)
Intl. J. of Oil, Gas and Coal Technology     Hybrid Journal   (Followers: 9, SJR: 0.265, CiteScore: 1)
Intl. J. of Operational Research     Hybrid Journal   (Followers: 3, SJR: 0.467, CiteScore: 1)
Intl. J. of Organisational Design and Engineering     Hybrid Journal   (Followers: 4)
Intl. J. of Petroleum Engineering     Hybrid Journal   (Followers: 2)
Intl. J. of Planning and Scheduling     Hybrid Journal   (Followers: 3)
Intl. J. of Pluralism and Economics Education     Hybrid Journal  
Intl. J. of Portfolio Analysis and Management     Hybrid Journal   (Followers: 4)
Intl. J. of Postharvest Technology and Innovation     Hybrid Journal   (Followers: 3, SJR: 0.144, CiteScore: 0)
Intl. J. of Power and Energy Conversion     Hybrid Journal   (Followers: 3, SJR: 0.132, CiteScore: 0)
Intl. J. of Power Electronics     Hybrid Journal   (Followers: 25, SJR: 0.233, CiteScore: 1)
Intl. J. of Powertrains     Hybrid Journal   (Followers: 2)
Intl. J. of Precision Technology     Hybrid Journal   (Followers: 1)
Intl. J. of Private Law     Hybrid Journal   (Followers: 10, SJR: 0.101, CiteScore: 0)
Intl. J. of Process Management and Benchmarking     Hybrid Journal   (Followers: 3, SJR: 0.314, CiteScore: 1)
Intl. J. of Process Systems Engineering     Hybrid Journal   (Followers: 2)
Intl. J. of Procurement Management     Hybrid Journal   (Followers: 12, SJR: 0.331, CiteScore: 1)
Intl. J. of Product Development     Hybrid Journal   (Followers: 1, SJR: 0.209, CiteScore: 1)
Intl. J. of Product Lifecycle Management     Hybrid Journal   (Followers: 1, SJR: 0.328, CiteScore: 1)
Intl. J. of Productivity and Quality Management     Hybrid Journal   (Followers: 7, SJR: 0.352, CiteScore: 1)
Intl. J. of Project Organisation and Management     Hybrid Journal   (Followers: 18, SJR: 0.273, CiteScore: 1)
Intl. J. of Public Law and Policy     Hybrid Journal   (Followers: 11, SJR: 0.108, CiteScore: 0)
Intl. J. of Public Policy     Hybrid Journal   (Followers: 4, SJR: 0.128, CiteScore: 0)
Intl. J. of Public Sector Performance Management     Hybrid Journal   (Followers: 11, SJR: 0.142, CiteScore: 0)
Intl. J. of Qualitative Research in Services     Hybrid Journal   (Followers: 4)
Intl. J. of Quality and Innovation     Hybrid Journal   (Followers: 6)
Intl. J. of Quality Engineering and Technology     Hybrid Journal   (Followers: 4, SJR: 0.134, CiteScore: 0)
Intl. J. of Quantitative Research in Education     Hybrid Journal   (Followers: 4)
Intl. J. of Radio Frequency Identification Technology and Applications     Hybrid Journal   (Followers: 4)
Intl. J. of Rapid Manufacturing     Hybrid Journal   (Followers: 3)
Intl. J. of Reasoning-based Intelligent Systems     Hybrid Journal   (SJR: 0.126, CiteScore: 0)
Intl. J. of Reliability and Safety     Hybrid Journal   (Followers: 12, SJR: 0.201, CiteScore: 0)
Intl. J. of Renewable Energy Technology     Hybrid Journal   (Followers: 10)
Intl. J. of Research, Innovation and Commercialisation     Hybrid Journal  
Intl. J. of Revenue Management     Hybrid Journal   (Followers: 2, SJR: 0.154, CiteScore: 0)
Intl. J. of Risk Assessment and Management     Hybrid Journal   (Followers: 15, SJR: 0.142, CiteScore: 0)
Intl. J. of Satellite Communications Policy and Management     Hybrid Journal   (Followers: 12)
Intl. J. of Security and Networks     Hybrid Journal   (Followers: 11, SJR: 0.212, CiteScore: 1)
Intl. J. of Sensor Networks     Hybrid Journal   (Followers: 4, SJR: 0.25, CiteScore: 1)
Intl. J. of Service and Computing Oriented Manufacturing     Hybrid Journal   (Followers: 2)
Intl. J. of Services and Operations Management     Hybrid Journal   (Followers: 5, SJR: 0.288, CiteScore: 1)
Intl. J. of Services and Standards     Hybrid Journal   (Followers: 1, SJR: 0.13, CiteScore: 0)
Intl. J. of Services Operations and Informatics     Hybrid Journal   (Followers: 1, SJR: 0.106, CiteScore: 0)
Intl. J. of Services Sciences     Hybrid Journal  
Intl. J. of Services Technology and Management     Hybrid Journal   (SJR: 0.129, CiteScore: 0)
Intl. J. of Services, Economics and Management     Hybrid Journal   (SJR: 0.118, CiteScore: 0)
Intl. J. of Shipping and Transport Logistics     Hybrid Journal   (Followers: 6, SJR: 0.416, CiteScore: 1)
Intl. J. of Signal and Imaging Systems Engineering     Hybrid Journal   (SJR: 0.179, CiteScore: 1)
Intl. J. of Simulation and Process Modelling     Hybrid Journal   (Followers: 5, SJR: 0.259, CiteScore: 1)
Intl. J. of Six Sigma and Competitive Advantage     Hybrid Journal   (Followers: 3, SJR: 0.161, CiteScore: 0)
Intl. J. of Smart Grid and Green Communications     Hybrid Journal   (Followers: 1)
Intl. J. of Smart Technology and Learning     Hybrid Journal   (Followers: 3)
Intl. J. of Social and Humanistic Computing     Hybrid Journal   (Followers: 1)
Intl. J. of Social Computing and Cyber-Physical Systems     Hybrid Journal   (Followers: 1)
Intl. J. of Social Entrepreneurship and Innovation     Hybrid Journal   (Followers: 21)
Intl. J. of Social Media and Interactive Learning Environments     Hybrid Journal   (Followers: 16)
Intl. J. of Social Network Mining     Hybrid Journal   (Followers: 2)
Intl. J. of Society Systems Science     Hybrid Journal  
Intl. J. of Soft Computing and Networking     Hybrid Journal   (Followers: 1)
Intl. J. of Software Engineering, Technology and Applications     Hybrid Journal   (Followers: 5)
Intl. J. of Space Science and Engineering     Hybrid Journal   (Followers: 10)
Intl. J. of Space-Based and Situated Computing     Hybrid Journal   (Followers: 2)
Intl. J. of Spatial, Temporal and Multimedia Information Systems     Hybrid Journal   (Followers: 1)
Intl. J. of Spatio-Temporal Data Science     Hybrid Journal  
Intl. J. of Sport Management and Marketing     Hybrid Journal   (Followers: 9, SJR: 0.377, CiteScore: 1)
Intl. J. of Strategic Business Alliances     Hybrid Journal   (Followers: 3)
Intl. J. of Strategic Change Management     Hybrid Journal   (Followers: 11)
Intl. J. of Strategic Engineering Asset Management     Hybrid Journal   (Followers: 4)
Intl. J. of Structural Engineering     Hybrid Journal   (Followers: 11, SJR: 0.326, CiteScore: 1)
Intl. J. of Supply Chain and Inventory Management     Hybrid Journal   (Followers: 13)
Intl. J. of Supply Chain and Operations Resilience     Hybrid Journal   (Followers: 7)
Intl. J. of Surface Science and Engineering     Hybrid Journal   (Followers: 7, SJR: 0.412, CiteScore: 1)
Intl. J. of Sustainable Agricultural Management and Informatics     Hybrid Journal   (Followers: 1)
Intl. J. of Sustainable Aviation     Hybrid Journal   (Followers: 3)
Intl. J. of Sustainable Design     Hybrid Journal   (Followers: 9)
Intl. J. of Sustainable Development     Hybrid Journal   (Followers: 15, SJR: 0.2, CiteScore: 0)
Intl. J. of Sustainable Economy     Hybrid Journal  
Intl. J. of Sustainable Manufacturing     Hybrid Journal   (Followers: 4)
Intl. J. of Sustainable Materials and Structural Systems     Hybrid Journal   (Followers: 3)
Intl. J. of Sustainable Real Estate and Construction Economics     Hybrid Journal   (Followers: 1)
Intl. J. of Sustainable Society     Hybrid Journal   (Followers: 3, SJR: 0.297, CiteScore: 1)
Intl. J. of Sustainable Strategic Management     Hybrid Journal   (Followers: 4)
Intl. J. of Swarm Intelligence     Hybrid Journal   (Followers: 1)
Intl. J. of System Control and Information Processing     Hybrid Journal   (Followers: 4)
Intl. J. of System of Systems Engineering     Hybrid Journal   (Followers: 2, SJR: 0.212, CiteScore: 0)
Intl. J. of Systems, Control and Communications     Hybrid Journal   (Followers: 4, SJR: 0.142, CiteScore: 0)
Intl. J. of Teaching and Case Studies     Hybrid Journal   (Followers: 5)
Intl. J. of Technoentrepreneurship     Hybrid Journal   (Followers: 1, SJR: 0.105, CiteScore: 0)
Intl. J. of Technological Learning, Innovation and Development     Hybrid Journal   (Followers: 6, SJR: 0.231, CiteScore: 0)

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Similar Journals
Journal Cover
International Journal of Modelling, Identification and Control
Journal Prestige (SJR): 0.401
Citation Impact (citeScore): 2
Number of Followers: 1  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1746-6172 - ISSN (Online) 1746-6180
Published by Inderscience Publishers Homepage  [447 journals]
  • Prescribed performance control for MDF continuous hot pressing hydraulic
           system
    • Authors: Liangkuan Zhu, Zibo Wang, Xiaodong Shao, Yaqiu Liu
      Pages: 185 - 194
      Abstract: In this paper, a prescribed performance control scheme is proposed for medium density fibreboard (MDF) continuous hot pressing hydraulic system. The performance issues regarding transient and steady state behaviours are explicitly considered in the control design and analysis. Firstly, a special error transformation is introduced into the first subsystem to transform original system with performance constraints into an equivalent 'output constrained' one to achieve prescribed performance guarantees. Subsequently, based on an appropriately designed barrier Lyapunov function (BLF), a controller is designed to stabilise the transformed system. Meanwhile, the novel error transformation effectively facilitates the control law derivation. It is proven that the proposed controller is capable of guaranteeing the satisfaction of the specific constraints on the transformed error and hence the prescribed performance specifications on the position tracking error, as well as the bounds of all closed-loop signals. In particular, in the second step of controller design, a first-order filter is used in conjunction with the traditional backstepping control to eliminate the differential term expansion caused by the derivative of virtual control input. Finally, numerical simulation results are presented to authenticate and validate the effectiveness of the proposed control scheme.
      Keywords: medium density fibreboard; MDF; hydraulic system; guaranteed transient performance; barrier Lyapunov function; BLF; backstepping control; first-order filter
      Citation: International Journal of Modelling, Identification and Control, Vol. 29, No. 3 (2018) pp. 185 - 194
      PubDate: 2018-04-17T23:20:50-05:00
      DOI: 10.1504/IJMIC.2018.091241
      Issue No: Vol. 29, No. 3 (2018)
       
  • Robust Q-parametrisation control for nonlinear magnetic bearing systems
           with imbalance based on TSK fuzzy model
    • Authors: M. Fekry, Abdelfatah M. Mohamed, Mohammed Fanni
      Pages: 195 - 208
      Abstract: This paper presents a methodology for designing a robust gain scheduled Takagi-Sugeno-Kang (TSK) fuzzy Q-parametrisation controller for nonlinear magnetic bearing systems subjected to imbalance sinusoidal disturbance. First, the mathematical model of nonlinear magnetic bearing is presented. Second, a set of Q-parametrisation observer based stabilising controllers is obtained based on linearisation of the nonlinear system at different operating points. Third, the structure that combines the Q-parametrisation observer based controller (OBC) with TSK fuzzy modelling to overcome the model nonlinearity and expand the operating envelopes is explained. Fourth, the proposed controller is applied to a nonlinear magnetic bearing system. Finally, the simulation results are presented. The results clearly show that the proposed controller is able to merge the intelligence of fuzzy systems with robustness of Q-parametrisation control to extend operating range up to more than 80% of gap length and reject imbalance sinusoidal disturbances at different operating speeds.
      Keywords: parallel distribution control; intelligent control; robust control; robust stability; fuzzy supervision; fuzzy modelling; Q-parameterisation; imbalance disturbance rejection; magnetic bearings modelling; magnetic bearings control
      Citation: International Journal of Modelling, Identification and Control, Vol. 29, No. 3 (2018) pp. 195 - 208
      PubDate: 2018-04-17T23:20:50-05:00
      DOI: 10.1504/IJMIC.2018.091237
      Issue No: Vol. 29, No. 3 (2018)
       
  • Enhanced receding horizon optimal performance for online tuning of PID
           controller parameters
    • Authors: Yongling Wu, Shaoyuan Li, Kang Li
      Pages: 209 - 217
      Abstract: In this paper, a new online proportional-integral-derivative (PID) controller parameter optimisation method is proposed by incorporating the philosophy of the model predictive control (MPC) algorithm. The future system predictive output and control sequence are first written as a function of the controller parameters. Then PID controller design is realised through optimising the cost function under the constraints on the system input and output. The MPC based PID online tuning easily handles the constraints and time delay. Simulation results in three situations, changing the control weight, adding constraints on the overshoot and control signal and changing the reference value, confirm that the proposed method is capable of producing good tracking performance with low energy consumption and short settling time.
      Keywords: online parameter optimisation; PID controller; model predictive control; MPC; tracking performance; control energy
      Citation: International Journal of Modelling, Identification and Control, Vol. 29, No. 3 (2018) pp. 209 - 217
      PubDate: 2018-04-17T23:20:50-05:00
      DOI: 10.1504/IJMIC.2018.091239
      Issue No: Vol. 29, No. 3 (2018)
       
  • Stabilisation of a class of non-minimum phase switched nonlinear systems
           based on backstepping method
    • Authors: Arwa Abdelkrim, Khalil Jouili, Naceur Benhadj Braiek
      Pages: 218 - 225
      Abstract: This paper addresses the formalism of the input-output feedback linearisation applied to a certain class of switched nonlinear systems where each mode may be non-minimum phase, to design state feedback controllers and a switching law based on multi-Lyapunov functions. The performed developments are largely on backstepping approach and multiple Lyapunov functions. The state feedback controllers and the switching law are developed to stabilise the transitions between the stability regions associated with each mode with non-minimum phase. Finally, simulation results of a non-minimum phase Continuously Stirred Tank Reactor (CSTR) show the effectiveness of the method.
      Keywords: backstepping; stabilisation; switched nonlinear systems; non-minimum phase; multiple Lyapunov functions; MLFs; input-output feedback linearisation
      Citation: International Journal of Modelling, Identification and Control, Vol. 29, No. 3 (2018) pp. 218 - 225
      PubDate: 2018-04-17T23:20:50-05:00
      DOI: 10.1504/IJMIC.2018.091243
      Issue No: Vol. 29, No. 3 (2018)
       
  • A sentiment analysis approach based on exploiting Chinese linguistic
           features and classification
    • Authors: Kai Gao, Shu Su, Dan-Yang Li, S-S. Zhang, J-S. Wang
      Pages: 226 - 232
      Abstract: This paper proposes a novel approach to exploiting linguistic features and SVM<SUP align="right">perf</SUP> algorithm based semantic classification, and this approach is applied into sentiment analysis. It uses the dependency relationship to do the linguistic feature extraction. This paper adopts χ<SUP align="right">2</SUP> (chi-square) and pointwise mutual information (PMI) metrics for feature selection. Furthermore, as for the approach on sentiment analysis, this paper uses the SVM<SUP align="right">perf</SUP> algorithm to implement the alternative structural formulation of the SVM optimisation problem for classification. E-commerce datasets are used to evaluate the experiment performance. Experiment results show the feasibility of the approach. Existing problems and further works are also presented.
      Keywords: sentiment analysis; linguistic feature; SVMperf; classification
      Citation: International Journal of Modelling, Identification and Control, Vol. 29, No. 3 (2018) pp. 226 - 232
      PubDate: 2018-04-17T23:20:50-05:00
      DOI: 10.1504/IJMIC.2018.091238
      Issue No: Vol. 29, No. 3 (2018)
       
  • Intensity-curvature highlight of human brain magnetic resonance
           imaging vasculature
    • Authors: Carlo Ciulla, Ustijana Rechkoska Shikoska, Dimitar Veljanovski, Filip A. Risteski
      Pages: 233 - 243
      Abstract: This paper uses the concept of intensity-curvature to highlight human brain vasculature imaged through magnetic resonance imaging (MRI). Two model functions are fitted to the MRI data. The model functions are: 1) the bivariate cubic polynomial (B32D), 2) the bivariate cubic Lagrange polynomial (G42D). The concept of intensity-curvature entails the calculation of the classic-curvature and the two intensity-curvature terms (ICTs): before and after interpolation. When the two intensity-curvature terms are calculated on a pixel-by-pixel basis across the image, they become two additional images. Through the use of the aforementioned ICT images it is possible to highlight and filter the human brain vasculature imaged with MRI. Moreover, the inverse Fourier transformation of the difference between the k-space of the MRI and the k-space of the ICT provides vessels identification. In essence, this research presents evidence that MRI images of the human brain can be studied through two additional domains: the intensity-curvature terms.
      Keywords: modelling; identification; control; bivariate cubic polynomial model; bivariate cubic Lagrange polynomial model; intensity-curvature; intensity-curvature functional; ICF; highlight; human brain; magnetic resonance imaging; vasculature; inverse Fourier tr
      Citation: International Journal of Modelling, Identification and Control, Vol. 29, No. 3 (2018) pp. 233 - 243
      PubDate: 2018-04-17T23:20:50-05:00
      DOI: 10.1504/IJMIC.2018.091242
      Issue No: Vol. 29, No. 3 (2018)
       
  • Estimation of the order and the memory of Volterra model from
           input/output observations
    • Authors: Safa Chouchane, Kais Bouzrara, Hassani Messaoud
      Pages: 244 - 254
      Abstract: This paper proposes a new method to estimate, from input/output measurements, the structure parameters (order and memory) of Volterra models used for describing nonlinear systems. For each structure parameter (order and memory), the identification method is based on the definition, for increasing values of such parameter, of a specific matrix the components of which are lagged inputs and lagged outputs. This matrix becomes singular once the parameter value exceeds its exact value. The proposed method is tested in numerical examples, then it is used for modelling a chemical reactor and the results were successful.
      Keywords: nonlinear system; Volterra model; structure estimation; determinant ratio
      Citation: International Journal of Modelling, Identification and Control, Vol. 29, No. 3 (2018) pp. 244 - 254
      PubDate: 2018-04-17T23:20:50-05:00
      DOI: 10.1504/IJMIC.2018.091240
      Issue No: Vol. 29, No. 3 (2018)
       
  • A chattering-free adaptive second-order non-singular fast terminal sliding
           mode control scheme for a class of nonlinear uncertain systems
    • Authors: Beibei Zhang, Shouli Gao, Xiao Yang, Dongya Zhao, Pengbin Zhang, Yupei Zeng
      Pages: 255 - 265
      Abstract: In this paper, an adaptive second-order non-singular fast terminal sliding mode (SONFTSM) control scheme is proposed so as to achieve finite-time stability with chattering-free control inputs for a class of nonlinear uncertain systems. Instead of the traditional control input in primitive sliding mode switching control design, the real control input is the time integration of the designed derivation of control input with discontinuous terms such that the chattering phenomenon can be reduced. An integral terminal sliding mode (ITSM) and a non-singular fast terminal sliding mode (NFTSM) are applied into the equivalent control design such that finite-time convergence of system states can be guaranteed when it moves on a sliding surface. Then, an adaptive method is utilised to estimate the unknown upper bound of the lumped uncertainty caused by modelling error and external disturbance. The stability analysis of closed-loop system can be demonstrated by constructing Lyapunov candidate function. Finally, the simulation results verify the effectiveness of proposed control scheme.
      Keywords: non-singular fast terminal sliding mode; NFTSM; integral terminal sliding mode; ITSM; adaptive method; Lyapunov candidate function; nonlinear uncertain systems
      Citation: International Journal of Modelling, Identification and Control, Vol. 29, No. 3 (2018) pp. 255 - 265
      PubDate: 2018-04-17T23:20:50-05:00
      DOI: 10.1504/IJMIC.2018.091248
      Issue No: Vol. 29, No. 3 (2018)
       
  • Whole body motion generation of 18-DOF biped robot on flat surface
           during SSP & DSP
    • Authors: Ravi Kumar Mandava, Pandu Ranga Vundavilli
      Pages: 266 - 277
      Abstract: The present work explains the dynamically balanced gait generation of an 18-DOF biped robot on a flat surface during both double support phase (DSP) and single support phase (SSP). To generate the said gaits, cubic polynomial trajectories are assumed to be followed by the swing foot and wrist end of the hand. Further, the hip joint is assumed to follow a straight line and cubic polynomial trajectories in the sagittal and frontal planes, respectively. A closed form solution methodology based on inverse kinematics is used for determining the joint angles made by various links of the biped robot. Once the gait related to upper and lower limbs of the two legged robot is generated, the balance of the generated gait is decided by finding the position of zero moment point (ZMP). Moreover, Lagrange-Euler formulation is used for calculating the dynamics of the biped robot. Further, the effectiveness of the developed algorithm in terms of generating dynamically balanced gaits on flat surface has been verified in computer simulations. Further, the generated gait has been tested on a real biped robot.
      Keywords: biped robot; single support phase; double support phase; DSP; dynamic balance margin
      Citation: International Journal of Modelling, Identification and Control, Vol. 29, No. 3 (2018) pp. 266 - 277
      PubDate: 2018-04-17T23:20:50-05:00
      DOI: 10.1504/IJMIC.2018.091246
      Issue No: Vol. 29, No. 3 (2018)
       
 
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