Results 251 to 260 of about 2,690,569 (319)
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IEEE Transactions on Cybernetics, 2022
This article is concerned with data-driven realization of fault detection (FD) for nonlinear dynamic systems. In order to identify and parameterize nonlinear Hammerstein models using dynamic input and output data, a stacked neural network-aided canonical
Hongtian Chen +3 more
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This article is concerned with data-driven realization of fault detection (FD) for nonlinear dynamic systems. In order to identify and parameterize nonlinear Hammerstein models using dynamic input and output data, a stacked neural network-aided canonical
Hongtian Chen +3 more
semanticscholar +1 more source
Dynamic Event-Triggered Practical Fixed-Time Consensus for Nonlinear Multiagent Systems
IEEE Transactions on Circuits and Systems - II - Express Briefs, 2022A new dynamic event-triggered control (ETC) scheme is proposed to address the practical fixed-time consensus (FTC) problem for multi-agent systems (MASs) with nonlinear dynamics.
Jian Liu +4 more
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Physics of Life Reviews, 2017
In this chapter, the concepts of nonlinear dynamical systems will be introduced. The local theory of nonlinear dynamical systems will be briefly discussed. The stability switching and bifurcation on specific eigenvectors of the linearized system at equilibrium will be discussed.
Nicola Bellomo, Ahmed Elaiw
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In this chapter, the concepts of nonlinear dynamical systems will be introduced. The local theory of nonlinear dynamical systems will be briefly discussed. The stability switching and bifurcation on specific eigenvectors of the linearized system at equilibrium will be discussed.
Nicola Bellomo, Ahmed Elaiw
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IEEE Transactions on Circuits and Systems - II - Express Briefs, 2022
This brief addresses the event-triggered (ET) consensus of nonlinear multi-agent systems (MASs) over directed graphs. A new nonlinearity condition is presented which can be applied specifically for ET consensus of a class of nonlinear MASs.
Ijaz Ahmed, M. Rehan, N. Iqbal
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This brief addresses the event-triggered (ET) consensus of nonlinear multi-agent systems (MASs) over directed graphs. A new nonlinearity condition is presented which can be applied specifically for ET consensus of a class of nonlinear MASs.
Ijaz Ahmed, M. Rehan, N. Iqbal
semanticscholar +1 more source
IEEE Transactions on Neural Networks and Learning Systems, 2021
In this article, an optimized leader-following consensus control scheme is proposed for the nonlinear strict-feedback-dynamic multi-agent system by learning from the controlling idea of optimized backstepping technique, which designs the virtual and ...
Guoxing Wen, C. L. P. Chen
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In this article, an optimized leader-following consensus control scheme is proposed for the nonlinear strict-feedback-dynamic multi-agent system by learning from the controlling idea of optimized backstepping technique, which designs the virtual and ...
Guoxing Wen, C. L. P. Chen
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Broad Learning System for Control of Nonlinear Dynamic Systems
IEEE International Conference on Systems, Man and Cybernetics, 2018We apply the Broad Learning System (BLS) to control of nonlinear dynamic systems by proposing an iterative learning algorithm using the gradient descent method.
Shuang Feng, Philip Chen
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IEEE Transactions on Neural Networks and Learning Systems, 2020
This article addresses the adaptive event-triggered neural control problem for nonaffine pure-feedback nonlinear multiagent systems with dynamic disturbance, unmodeled dynamics, and dead-zone input.
Hongjing Liang +3 more
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This article addresses the adaptive event-triggered neural control problem for nonaffine pure-feedback nonlinear multiagent systems with dynamic disturbance, unmodeled dynamics, and dead-zone input.
Hongjing Liang +3 more
semanticscholar +1 more source
Linearization of Nonlinear Dynamic Systems
IEEE Transactions on Instrumentation and Measurement, 2004In this paper we propose a method to linearize a nonlinear dynamic system: the nonlinear distortions are reduced, and the linear dynamics are corrected to a flat amplitude and linear phase in a user defined frequency band.
Schoukens, Joannes +4 more
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Noise in nonlinear dynamical systems
Contemporary Physics, 1990Abstract Noise is commonly regarded as having a destructive but relatively innocuous effect, blurring our view of a system but having no effect on the underlying processes involved. In this paper we show, using examples from stochastic nonlinear dynamics, that these intuitive ideas about noise can be very misleading.
MANNELLA, RICCARDO, MCCLINTOCK PVE
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Nonlinear Dynamics of Microelectromechanical Systems
Journal of Vibration and Control, 2006We investigate the dynamic behavior of a micromachined switch including a thin metal membrane called the “bridge”. A nonlinear model is presented considering mechanical force, electrostatic force, and the squeeze-film damping force, and the dynamic equations of a double model for the micromachined system are derived.
Liu, Liqin, Gang, Tangyou, Wu, Zhiqiang
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