Results 281 to 290 of about 117,697,012 (350)
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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
semanticscholar +1 more source
Adaptive Fuzzy Fixed-Time Decentralized Control for Stochastic Nonlinear Systems
IEEE transactions on fuzzy systems, 2021This article studies the problem of adaptive fuzzy fixed-time decentralized control for nonlinear interconnected systems with stochastic disturbances and unknown nonlinearities.
Ke-Wen Li, Yongming Li, Guangdeng Zong
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IEEE Transactions on Systems, Man & Cybernetics. Systems
In this article, for the nonzero-sum (NZS) differential games problem of uncertain nonlinear systems with state constraints, an adaptive robust stabilization scheme based on the control barrier function (CBF) is presented under the influence of random ...
C. Qin +5 more
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In this article, for the nonzero-sum (NZS) differential games problem of uncertain nonlinear systems with state constraints, an adaptive robust stabilization scheme based on the control barrier function (CBF) is presented under the influence of random ...
C. Qin +5 more
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Nonsingular Predefined Time Adaptive Dynamic Surface Control for Quantized Nonlinear Systems
IEEE Transactions on Systems, Man & Cybernetics. SystemsThis article focuses on the singularity-free predefined time control design problem of the quantized nonstrict feedback (NSF) nonlinear systems. Radial basis function neural networks (NNs) are introduced to model the unknown nonlinear dynamics.
Hao Xu +4 more
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Measure theory approach in sliding mode control for nonlinear systems with disturbances
International Journal of Modelling, Identification and Control, 2015Mohammad Reza Zarrabi 0001 +3 more
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International Journal of Bifurcation and Chaos in Applied Sciences and Engineering
This paper delves into the topics of Finite-Time Stabilization (FTS) and Finite-Time Contractive Stabilization (FTCS) for Fractional-Order Nonlinear Systems (FONSs). To address these issues, we employ a State-Dependent Delayed Impulsive Controller (SDDIC)
P. Gokul +3 more
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This paper delves into the topics of Finite-Time Stabilization (FTS) and Finite-Time Contractive Stabilization (FTCS) for Fractional-Order Nonlinear Systems (FONSs). To address these issues, we employ a State-Dependent Delayed Impulsive Controller (SDDIC)
P. Gokul +3 more
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Theory of chaos and control in a nonlinear optical system
Physics Letters A, 1994A parametric amplifier driven by a periodically pulsed pump field inside a cavity containing a Kerr nonlinearity may be modeled mathematically by a two-dimensional map. We investigate control of chaotic solutions of this model system using the OGY method.
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Differential Systems and Nonlinear Control Theory
IFAC Proceedings Volumes, 1995Abstract Techniques from exterior differential systems provide a powerful geometric tool for the study of nonlinear systems. This paper presents a sketch of the relevant ideas and indicates both the ways in which they have already made an impact in control as well as some areas of future application.
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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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An iterative learning control theory for a class of nonlinear dynamic systems
Automatica, 1992Abstract An iterative learning control scheme is presented for a class of nonlinear dynamic systems which includes holonomic systems as its subset. The control scheme is composed of two types of control methodology: a linear feedback mechanism and a feedforward learning strategy. At each iteration, the linear feedback provides stability of the system
KUC, TY, LEE, JS, NAM, K
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