Results 211 to 220 of about 615,645 (274)
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Adaptive Neural Network Finite-Time Dynamic Surface Control for Nonlinear Systems
IEEE Transactions on Neural Networks and Learning Systems, 2020This article addresses the problem of finite-time neural network (NN) adaptive dynamic surface control (DSC) design for a class of single-input single-output (SISO) nonlinear systems.
Kewen Li, Yong-ming Li
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On categories and foundations of the theory of nonlinear control dynamical systems: III
Differential Equations, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Factorization of nonlinear systems: toward a theory for nonlinear H/sup infinity / control
Proceedings of the 27th IEEE Conference on Decision and Control, 2003A natural approach to H/sup infinity / control for nonlinear systems, by developing a theory of factorization for a nonlinear time-invariant causal map, is presented. Whenever such factorizations exist with well-behaved frequency-response function, theta , then a substantial class of nonlinear control problems can be solved. The author reports progress
J.W. Helton, J.A. Ball
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Categories and Foundations of the Theory of Nonlinear Controlled Dynamical Systems: I
Differential Equations, 2002According to the introduction, ``the exposition of foundations of a particular mathematical theory begins with the definition of\dots notions.'' In the first part the author develops ``an approach that permits one to use category theory and thus introduce the above mentioned notions in a very natural manner''.
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Nonlinear PI control of chaotic systems using singular perturbation theory
Chaos, Solitons & Fractals, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wang Jiang, Li Huiyan, Wang Jing
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IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020
In this article, the issue of adaptive neural fault-tolerant control (FTC) is addressed for a class of uncertain switched nonstrict-feedback nonlinear systems with unmodeled dynamics and unmeasurable states.
Li Ma +4 more
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In this article, the issue of adaptive neural fault-tolerant control (FTC) is addressed for a class of uncertain switched nonstrict-feedback nonlinear systems with unmodeled dynamics and unmeasurable states.
Li Ma +4 more
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IEEE Transactions on Neural Networks and Learning Systems, 2020
This study investigates the problem of adaptive decentralized tracking control for a class of interconnected nonlinear systems with input quantization, unknown function, and time-delay, where the time-delay and interconnection terms are supposed to be ...
Haibin Sun +3 more
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This study investigates the problem of adaptive decentralized tracking control for a class of interconnected nonlinear systems with input quantization, unknown function, and time-delay, where the time-delay and interconnection terms are supposed to be ...
Haibin Sun +3 more
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IEEE Transactions on Emerging Topics in Computational Intelligence
Although model based $H_{\infty }$ control scheme for nonlinear continuous-time (CT) systems with unknown system dynamics has been extensively studied, model-free $H_{\infty }$ control of nonlinear CT systems via Q-learning is still a challenging problem.
Jun Zhao +3 more
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Although model based $H_{\infty }$ control scheme for nonlinear continuous-time (CT) systems with unknown system dynamics has been extensively studied, model-free $H_{\infty }$ control of nonlinear CT systems via Q-learning is still a challenging problem.
Jun Zhao +3 more
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Impulsive Control of Nonlinear Systems With Time-Varying Delay and Applications
IEEE Transactions on Cybernetics, 2020Impulsive control of nonlinear delay systems is studied in this paper, where the time delays addressed may be the constant delay, bounded time-varying delay, or unbounded time-varying delay.
Xiaodi Li, Jinde Cao, D. Ho
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Modelling and Control of Production Systems based on Nonlinear Dynamics Theory
CIRP Annals, 2002Abstract Today's highly dynamic market with its rapid changing demand requires highly dynamic order processing in very flexible production systems. Most conventional production planning and control methods do not support such fast-moving activities. A dynamical approach is introduced for modelling and control of production systems.
A. Schmieder +2 more
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