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 Showing 1 - 53 of 53 Journals sorted alphabetically Accident Analysis & Prevention       (Followers: 122) Analytic Methods in Accident Research       (Followers: 9) Applied Mobilities       (Followers: 3) Archives of Transport       (Followers: 18) Asian Transport Studies       (Followers: 1) Botswana Journal of Technology       (Followers: 1) Case Studies on Transport Policy       (Followers: 16) Cities in the 21st Century       (Followers: 16) Danish Journal of Transportation Research / Dansk Tidsskrift for Transportforskning       (Followers: 3) Decision Making : Applications in Management and Engineering       (Followers: 2) Economics of Transportation       (Followers: 14) Emission Control Science and Technology       (Followers: 2) eTransportation       (Followers: 2) EURO Journal of Transportation and Logistics       (Followers: 15) European Transport Research Review       (Followers: 24) Geosystem Engineering       (Followers: 2) IATSS Research IEEE Open Journal of Intelligent Transportation Systems       (Followers: 7) IEEE Vehicular Technology Magazine       (Followers: 7) IET Electrical Systems in Transportation       (Followers: 11) IET Intelligent Transport Systems       (Followers: 12) IET Smart Cities       (Followers: 1) IFAC-PapersOnLine       (Followers: 1) International Journal of Applied Logistics       (Followers: 11) International Journal of Crashworthiness       (Followers: 12) International Journal of e-Navigation and Maritime Economy       (Followers: 6) International Journal of Electric and Hybrid Vehicles       (Followers: 11) International Journal of Electronic Transport       (Followers: 9) International Journal of Heavy Vehicle Systems       (Followers: 7) International Journal of Intelligent Transportation Systems Research       (Followers: 16) International Journal of Mobile Communications       (Followers: 9) International Journal of Ocean Systems Management       (Followers: 3) International Journal of Physical Distribution & Logistics Management       (Followers: 12) International Journal of Services Technology and Management       (Followers: 1) International Journal of Sustainable Transportation       (Followers: 19) International Journal of Traffic and Transportation Engineering       (Followers: 19) International Journal of Transportation Engineering       (Followers: 2) International Journal of Transportation Science and Technology       (Followers: 12) International Journal of Vehicle Systems Modelling and Testing       (Followers: 3) Journal of Advanced Transportation       (Followers: 16) Journal of Big Data Analytics in Transportation       (Followers: 2) Journal of Intelligent and Connected Vehicles       (Followers: 2) Journal of KONES Journal of Mechatronics, Electrical Power, and Vehicular Technology       (Followers: 6) Journal of Modern Transportation       (Followers: 9) Journal of Navigation       (Followers: 280) Journal of Sport & Social Issues       (Followers: 12) Journal of Sustainable Mobility       (Followers: 3) Journal of Traffic and Transportation Engineering (English Edition)       (Followers: 5) Journal of Transport & Health       (Followers: 12) Journal of Transport and Land Use       (Followers: 26) Journal of Transport and Supply Chain Management       (Followers: 16) Journal of Transport Geography       (Followers: 28) Journal of Transport History       (Followers: 13) Journal of Transportation Safety & Security       (Followers: 10) Journal of Transportation Security       (Followers: 2) Journal of Transportation Systems Engineering and Information Technology       (Followers: 12) Journal of Transportation Technologies       (Followers: 15) Journal of Waterway Port Coastal and Ocean Engineering       (Followers: 8) Journal on Vehicle Routing Algorithms Les Dossiers du Grihl       (Followers: 1) LOGI ? 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Similar Journals
 Nonlinear DynamicsJournal Prestige (SJR): 1.468 Citation Impact (citeScore): 4Number of Followers: 20      Hybrid journal (It can contain Open Access articles) ISSN (Print) 1573-269X - ISSN (Online) 0924-090X Published by Springer-Verlag  [2656 journals]
• An adjustable visual image cryptosystem based on 6D hyperchaotic system
and compressive sensing
• Abstract: In this paper, an efficient and adjustable visual image encryption scheme is proposed by combining a 6D hyperchaotic system, compressive sensing, and Bezier curve embedding. First, the plain image is sparse by discrete wavelet transform (DWT). Then, the sparse image is encrypted and compressed through game-of-life (GOL) hybrid scrambling and compressive sensing into a cipher image. Next, Bezier curve embedding is utilized to embed the cipher image into the carrier image in wavelet domain. After these operations, the final visually meaningful steganographic image is generated. Additionally, the frequency-domain information of the plain image is used to generate the initial values of the 6D hyperchaotic system in scrambling process, which makes the proposed encryption scheme able to effectively resist the chosen-plaintext attacks (CPA) and the known-plaintext attacks (KPA). Moreover, our scheme exhibits excellent adjustable performance compared with existing related schemes. Ultimately, simulation results and comprehensive performance analyses demonstrate that the scheme proposed in this paper has high decryption quality, visual security, robustness, and operating efficiency.
PubDate: 2021-05-10

• Modified Morris–Lecar neuron model: effects of very low frequency
electric fields and of magnetic fields on the local and network dynamics
of an excitable media
• Abstract: A Morris–Lecar neuron model is considered with electric and magnetic field effects where the electric field is a time-varying sinusoid and magnetic field is simulated using an exponential flux memristor. We have shown that the exposure to electric and magnetic fields have significant effects on the neurons and has exhibited complex oscillations. The neurons exhibit a frequency-locked state for the periodic electric field and different ratios of frequency-locked states with respect to the electric field frequency is also presented. To show the impact of the electric and magnetic fields on network of neurons, we have constructed different types of network and have shown the network wave propagation phenomenon. Interestingly, the nodes exposed to both electric and magnetic fields exhibit more stable spiral waves compared to the nodes exhibited only to the magnetic fields. Also, when the number of layers is increased, the range of electric field frequency for which the layers exhibit spiral waves also increases.
PubDate: 2021-05-09

• Identification and severity estimation of a breathing crack in a plate via
nonlinear dynamics
• Abstract: Cracks in mechanical structures are normally fatigue cracks which open and close (hence called breathing cracks) upon excitation thus introducing nonlinearity. These nonlinear cracks, particularly early cracks are difficult to identify and hence may lead to catastrophic failure of the whole structure, if remain undetected. Breathing cracks in beam-like (1D) structures have been modeled and identified successfully to date. However, these types of nonlinear cracks are difficult to identify in plate-like (2D) structures. Researchers have modeled open part-through cracks analytically in plates, but it still needs to be explored in case of breathing part-through and through-cracks. This paper presents the mathematical modeling of a breathing part-through crack in a plate based on piecewise equations. Further, in order to identify this crack, a proposed enhancement of the Hilbert transform from 1 to 2D structure is presented. The cracked plate model is that of a bilinear oscillator with two frequencies corresponding to two stiffness regions indicating breathing. The piecewise equations used to model breathing crack, are combined by considering its dynamic characteristics at the stiffness interface. The breathing frequency obtained is validated analytically, numerically as well as by simulated experiments. The results indicate that the proposed method successfully identified the nonlinear breathing crack. Another important finding is that instantaneous frequency obtained can be related to severity estimation of crack.
PubDate: 2021-05-09

• Synchronization and chimeras in a network of photosensitive
FitzHugh–Nagumo neurons
• Abstract: Recently, a photosensitive model has been proposed that takes into account nonlinear encoding and responses of photosensitive neurons that are subject to optical signals. In the model, a photocell term has been added to the well-known FitzHugh–Nagumo neuron, which results in a time-varying voltage source. The modified model exhibits most of the main characteristics of biological neurons, like spiking, bursting, and chaotic responses, but is also amenable to study the effect of optical signals. In this paper, we consider a small-world network of photosensitive neurons and study their collective behavior in dependence on interaction strength. We show that the network exhibits synchronization in a specific range of coupling strengths before transcending into a chimera state. We use the master stability function, a local-order parameter, as well as recurrence plots to verify the reported results.
PubDate: 2021-05-09

• Correction to: Robust control of reaction wheel bicycle robot via adaptive
integral terminal sliding mode
• Abstract: A correction to this paper has been published: https://doi.org/10.1007/s11071-021-06473-5
PubDate: 2021-05-05

• Suppression of a nonplanar motion in an externally excited string by the
addition of viscosity based on velocity feedback control
• Abstract: This study concerns the out-of-plane motion of a vertically disposed string with one end fixed and the other subjected to a harmonic excitation. Excited in its primary resonance, the string can vibrate in the direction orthogonal to the excitation direction through nonlinear coupling effects and has out-of-plane motion. To suppress this out-of-plane motion, we propose a boundary control method that modifies the boundary condition of the fixed upper end, i.e., we move the fixed upper end in the direction orthogonal to the external excitation. The unstable range for trivial steady state motion in this direction, which exists in the neighborhood of the primary resonance condition, changes to a stable range under suitable feedback gain. The out-of-plane motion is then suppressed for any excitation frequency. Experiments conducted using a simple apparatus confirmed the validity of the proposed method adopting boundary control.
PubDate: 2021-05-05

• A power-form method for dynamic systems: investigating the steady-state
response of strongly nonlinear oscillators by their equivalent
Duffing-type equation
• Abstract: This paper aims to apply a transformation method that replaces the elastic forces of the original equation of motion with a power-form elastic term. The accuracy obtained from the derived equivalent equations of motion is evaluated by studying the finite-amplitude damped, forced vibration of a vertically suspended load body supported by incompressible, homogeneous, and isotropic viscohyperelastic elastomer materials. Numerical integrations of the original equations of two oscillators described by neo-Hookean and Mooney–Rivlin viscohyperelastic elastomer material models, and their equivalent equations of motion, are compared to the frequency–amplitude steady-state solutions obtained from the harmonic balance and the averaging methods. It is shown from numerical integrations and approximate steady-state solutions that the equivalent equations predict well the original system dynamic response despite having higher system nonlinearities.
PubDate: 2021-05-05

• Input-to-state stability of hybrid stochastic systems with unbounded
delays and impulsive effects
• Abstract: In this paper, we investigate input-to-state stability (ISS) problem for a general model of hybrid stochastic systems with unbounded delays and impulsive effects, in which stochastic disturbances involve white noise and Markov chain. Firstly, we establish a novel differential inequality with unbounded delays and variable inputs, which extends and improves some existing results. Then, by using the obtained inequality, the sufficient conditions are derived to determine ISS properties on impulsive robustness and impulsive stabilization for the impulsive stochastic systems with unbounded delays. The results not only show that the ISS properties still remain under certain impulsive perturbations for some continuous stable systems, but also indicate that an unstable system can be successfully stabilized to be input-to-state stable by impulses even if the corresponding continuous system is unstable. The obtained criteria are applied to study the ISS problems for impulsive stochastic neural networks and the systems of energy-storing electrical circuit. Finally, two numerical examples and their simulations are given to illustrate the validity of theoretical results.
PubDate: 2021-05-05

polynomial trajectories
PubDate: 2021-05-05

• Nonlinear feedback anti-control of limit cycle and chaos in a mechanical
oscillator: theory and experiment
• Abstract: Though engineers believe that self-excited oscillation and chaos is detrimental, recent research has revealed that self-excited periodic and chaotic oscillation can be effectively utilized in many engineering processes and devices for significant benefits. Then a simple nonlinear acceleration feedback controller is proposed to generate self-excited periodic and chaotic oscillation in a mechanical oscillator. Analytical expressions relating the amplitude of limit cycles and control parameters are obtained by the method of multiple time scales. Analytical results are verified by numerical simulations performed in MATLAB–SIMULINK. Existence of chaotic oscillations is confirmed by numerical simulations. An extensive parametric study is carried out to reveal the nature of the chaotic oscillations and its dependence on the controller parameters. Theoretical results are finally verified by experiments. It is generally observed that the same controller can be used to induce both periodic and chaotic oscillations just by flipping the phase of the controller. This is possibly the first example where the same controller can be utilized to generate periodic and chaotic oscillation in a mechanical system. The findings of the paper are believed to be used in macro- and micro-mechanical systems.
PubDate: 2021-05-05

• Synchronization control for networked mobile robot systems based on
• Abstract: This paper addresses the problem of synchronization control for networked multi-mobile robot systems from the perspective of analytical mechanics. By reformulating the task requirement as a constrained motion problem, a unified synchronization algorithm for networked multi-mobile robot systems with or without leaders is proposed in combination with algebraic graph theory and the Udwadia–Kalaba approach. With the proposed algorithm, the networked mobile robot system can achieve synchronization from arbitrary initial conditions for the leaderless case and realize accurate trajectory tracking with explicitly given reference trajectories for the leader-following case. Numerical simulations of a networked wheeled mobile robot system are performed under different network structures and various trajectory requirements to show the performance of the proposed control algorithm.
PubDate: 2021-05-04

• Stabilization of stochastic complex networks with switching jump
diffusions based on adaptive aperiodically intermittent control
• Abstract: In this article, the exponential stabilization of stochastic complex networks with time delays, uncertainties and switching jump diffusions (SCNTDUSJD) is investigated via adaptive aperiodically intermittent control. It deserves mentioning that switching jump diffusions are state dependent and adaptive aperiodically intermittent control is applied to study the stabilization of SCNTDUSJD for the first time. Primarily, the Lyapunov function of SCNTDUSJD is constructed. Based on graph theory and the Lyapunov method, some sufficient conditions are given to ensure the exponential stability of SCNTDUSJD, which reflects that the controller plays an important role in the realization of stabilization. At the same time, our results can be applied to stochastic coupled oscillators with switching jump diffusions. Finally, in order to explain the effectiveness of theoretical results, relative numerical results are presented.
PubDate: 2021-05-04

• An ergodic-averaging method to differentiate covariant Lyapunov vectors
• Abstract: Covariant Lyapunov vectors or CLVs span the expanding and contracting directions of perturbations along trajectories in a chaotic dynamical system. Due to efficient algorithms to compute them that only utilize trajectory information, they have been widely applied across scientific disciplines, principally for sensitivity analysis and predictions under uncertainty. In this paper, we develop a numerical method to compute the directional derivatives of the first CLV along its own direction; the norm of this derivative is also the curvature of one-dimensional unstable manifolds. Similar to the computation of CLVs, the present method for their derivatives is iterative and analogously uses the second-order derivative of the chaotic map along trajectories, in addition to the Jacobian. We validate the new method on a super-contracting Smale–Williams Solenoid attractor. We also demonstrate the algorithm on several other examples including smoothly perturbed Arnold Cat maps, and the Lorenz’63 attractor, obtaining visualizations of the curvature of each attractor. Furthermore, we reveal a fundamental connection of the derivation of the CLV self-derivative computation with an efficient computation of linear response of chaotic systems.
PubDate: 2021-05-04

• Synchronization structures in the chain of rotating pendulums
• Abstract: The collective behavior of the ensembles of coupled nonlinear oscillator is one of the most interesting and important problems in modern nonlinear dynamics. In this paper, we study rotational dynamics, in particular space-time structures, in locally coupled identical pendulum-type elements chains that describe the behavior of phase-locked-loop systems, distributed Josephson junctions, coupled electrical machines, etc. The control parameters in the considered chains are: dissipation, coupling strength, and number of elements. In the system under consideration, the realized modes are synchronous in frequency and synchronous (in-phase) or asynchronous (out-of-phase) in phase. In the low dissipation case, the in-phase synchronous rotational regime instability region boundaries are theoretically found and the bifurcations leading to the loss of its stability are determined. The analysis was carried out for chains of arbitrary length. The existence of various out-of-phase synchronous rotational modes types is revealed: completely asynchronous in phases and the cluster in-phase synchronization regime. Regularities of transitions from one type of out-of-phase synchronous mode to another are established. It was found that at certain coupling parameter values, the coexistence of stable in-phase and out-of-phase synchronous modes is possible. It was found that for arbitrary chain length, the number of possible stable out-of-phase modes is always one less than the chain elements number. Analytical results are confirmed by numerical simulations.
PubDate: 2021-05-04

• A multilayer neural dynamic controller design method of quadrotor UAV for
• Abstract: In order to track the time-varying trajectory efficiently and accurately, a multilayer neural dynamic controller is proposed and exploited for quadrotor unmanned aerial vehicles (UAVs). Previous UAV controllers based on neural dynamic methods used forces and torques as control variables. However, in fact, the real control variables of a UAV are the PWM waves for controlling motors. What is more, the motors are always modeled as one-order systems since the existence of inertia and friction, which means that using forces and torques as control variables is not proper and may lead to low precision and inefficient tracking for UAVs. To solve this problem, a new UAV controller which uses exactly what inputs to motors as control variables is designed, so that the designed controller is more practical for UAVs. In the design process, a multilayer neural dynamic controller is obtained by applying the neural dynamic method to position layer, velocity, torque layer and motor layer successively. Both theoretical analysis and computer simulation results verify the effectiveness, convergence, stability and accuracy of the proposed multilayer neural dynamic controller for tracking time-varying trajectories.
PubDate: 2021-05-04

• Complex dynamics in a discrete SIS epidemic model with Ricker-type
recruitment and disease-induced death
• Abstract: In this paper, we investigate the complex dynamics in a discrete SIS epidemic model with Ricker-type recruitment and disease-induced death. It is shown that the model has a unique disease-free equilibrium if the basic reproduction number $${\mathcal {R}}_{0}\le 1$$ and a unique endemic equilibrium if $${\mathcal {R}}_{0}> 1$$ . Sufficient conditions for the locally asymptotic stability of the equilibria are obtained. A detailed bifurcation analysis at the endemic equilibrium reveals that the model undergoes a sequence of bifurcations, including transcritical bifurcation, flip bifurcation and Neimark–Sacker bifurcation, as the parameters vary. Various numerical simulations, including bifurcation diagrams, phase portraits, maximum Lyapunov exponents and feasible sets, are carried out to present complex periodic windows, period-28 points, multiple chaotic bands, fractal basin boundaries, chaotic attractors and the coexistence of period points and three invariant tori, which not only illustrate the theoretical results but also demonstrate more complex dynamical behaviors of the model.
PubDate: 2021-05-03

• Evolutionary behavior and novel collision of various wave solutions to
equation
• Abstract: In the present paper, taking advantage of the bilinear method, we attained N-soliton solutions of the (3+1)-dimensional generalized Camassa–Holm Kadomtsev–Petviashvili (gCH-KP) equation. By combining the long wave limit method and the complex conjugate method to N-soliton solutions, M-lump wave solutions including one-lump wave, two-lump wave and three-lump wave and two types of hybrid solutions including hybrid solution between lump wave and solitons and between M-lump wave and soliton were obtained. In addition, several groups of images exhibited their dynamic structure and physical properties with physically interpreted via symbolic computation. Finally, resonant multi-soliton wave solutions were obtained by carrying out the linear superposition principle and the progresses of wave motions with physical interpretation represented graphically. Furthermore, the received results have immensely augmented the exact solutions of (3+1)-dimensional gCH-KP equation on the available literature and enabled us to understand the nonlinear dynamic system deeply. In addition, the proposed methods will be a strong boost to the calculation method of nonlinear equations.
PubDate: 2021-05-03

• Compensation process and generation of chirped femtosecond solitons and
double-kink solitons in Bose–Einstein condensates with time-dependent
atomic scattering length in a time-varying complex potential
• Abstract: We consider the one-dimensional (1D) cubic-quintic Gross–Pitaevskii (GP) equation, which governs the dynamics of Bose–Einstein condensate matter waves with time-varying scattering length and loss/gain of atoms in a harmonic trapping potential. We derive the integrability conditions and the compensation condition for the 1D GP equation and obtain, with the help of a cubic-quintic nonlinear Schrödinger equation with self-steepening and self-frequency shift, exact analytical solitonlike solutions with the corresponding frequency chirp which describe the dynamics of femtosecond solitons and double-kink solitons propagating on a vanishing background. Our investigation shows that under the compensation condition, the matter wave solitons maintain a constant amplitude, the amplitude of the frequency chirp depends on the scattering length, while the motion of both the matter wave solitons and the corresponding chirp depend on the external trapping potential. More interesting, the frequency chirps are localized and their feature depends on the sign of the self-steepening parameter. Our study also shows that our exact solutions can be used to describe the compression of matter wave solitons when the absolute value of the s-wave scattering length increases with time.
PubDate: 2021-05-03

• Dynamics of spatiotemporal modulated damped signals in a nonlinear RLC
transmission network
• Abstract: The dynamics of spatiotemporal modulated damped signals in a nonlinear LC transmission network with dissipative elements are investigated analytically. The complex cubic Ginzburg–Landau (GL) equation governing slowly modulated wave propagation is presented. Considering linear wave propagating in the network, we derive in terms of the propagating frequency the spatial decreasing rate (linear dissipation parameter) and show that its must important contribution comes from the dissipative element of the shunt branch. The modulational instability (MI) criterion of modulated Stokes wave propagating in the network is investigated and the analytical expression of the MI growth rate is derived; we show that in the case of weak dissipation, there are no significant changes for the bandwidth frequency where the network may exhibit MI. Exact and approximative envelope soliton-like solutions of the derived GL equation are presented and used to investigate the dynamics of spatiotemporal modulated damped signals along the network. We show that the solution parameters can be used for managing the evolution of the envelope soliton signals along the network. Our investigation shows that the amplitude decays in both space (cell number n) and time t, while the velocity remains constant when the envelope soliton signal propagates along the dissipative network.
PubDate: 2021-05-03

• Chaotic time series prediction using echo state network based on selective
opposition grey wolf optimizer
• Abstract: Chaos prediction of nonlinear system is of great significance for proposing control strategies early. On the other hand, echo state network (ESN) as an artificial neural recursive network is widely used in time series prediction, while it has significant disadvantages due to the random input weight matrix. This work proposes a chaos prediction model based on ESN optimized by the selective opposition grey wolf optimizer (SOGWO). Firstly, the input weight matrix of ESN is restructured to express the position of gray wolf optimizer (GWO). Secondly, the selective opposition strategy is introduced into the GWO to enhance the exploration and exploitation capability. Thirdly, the optimal network is achieved by iteratively updating the position of SOGWO where the input weight is replaced by optimal search agent. Finally, taking two typical chaotic time series of Mackey–Glass and Lorenz as the objects, the effectiveness of the proposed SOGWO-ESN is verified by numerical simulation. The experimental results of SOGWO-ESN are compared with those of the traditional echo state network, the network model optimized by the particle swarm optimization (PSO) and the traditional gray wolf optimizer. The results imply that the proposed SOGWO-ESN has better prediction performance and is able to accurately predict a much longer period of time.
PubDate: 2021-05-03

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