Results 131 to 140 of about 25,833,602 (180)
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Fuzzy Adaptive Finite-Time Control Design for Nontriangular Stochastic Nonlinear Systems
IEEE transactions on fuzzy systems, 2019This paper solves the stochastically finite-time control problem for uncertain stochastic nonlinear systems in nontriangular form. The considered controlled plants are different from the previous results of finite-time control systems, which are the ...
Shuai Sui, C. L. P. Chen, Shaocheng Tong
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Finite-Time Adaptive Fuzzy Control for Nonlinear Systems With Full State Constraints
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019In this paper, an adaptive fuzzy controller is constructed to address the finite-time tracking control problem for a class of strict-feedback nonlinear systems, where the full state constraints are strictly required in the systems.
Jianwei Xia +4 more
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IEEE transactions on fuzzy systems, 2019
The problem of adaptive fuzzy control is investigated for a class of nontriangular structural stochastic switched nonlinear systems with full state constraints in this paper. A remarkable feature of the nontriangular structural nonlinear system is the so-
Kangkang Sun +4 more
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The problem of adaptive fuzzy control is investigated for a class of nontriangular structural stochastic switched nonlinear systems with full state constraints in this paper. A remarkable feature of the nontriangular structural nonlinear system is the so-
Kangkang Sun +4 more
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IEEE transactions on fuzzy systems, 2019
In this paper, an adaptive fuzzy output feedback control problem is investigated for a class of stochastic nonlinear systems in which the fuzzy logic systems are adopted to approximate the unknown nonlinear functions.
Hui Ma +3 more
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In this paper, an adaptive fuzzy output feedback control problem is investigated for a class of stochastic nonlinear systems in which the fuzzy logic systems are adopted to approximate the unknown nonlinear functions.
Hui Ma +3 more
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IEEE transactions on fuzzy systems, 2019
This paper considers the problem of sampled-data adaptive output feedback fuzzy stabilization for switched uncertain nonlinear systems associated with asynchronous switching.
Shi Li, C. Ahn, Z. Xiang
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This paper considers the problem of sampled-data adaptive output feedback fuzzy stabilization for switched uncertain nonlinear systems associated with asynchronous switching.
Shi Li, C. Ahn, Z. Xiang
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Adaptive Learning Control for Nonlinear Systems With Randomly Varying Iteration Lengths
IEEE Transactions on Neural Networks and Learning Systems, 2019This paper proposes adaptive iterative learning control (ILC) schemes for continuous-time parametric nonlinear systems with iteration lengths that randomly vary.
D. Shen, Jian-xin Xu
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Finite time control of switched stochastic nonlinear systems
Fuzzy Sets Syst., 2019This manuscript studies a finite-time tracking problem of switched stochastic nonlinear uncertain systems. By utilizing a comparison theorem and a mean value theorem of integrals, a significant finite-time stability criterion for stochastic nonlinear ...
F. Wang, Bing Chen, Yumei Sun, Chong Lin
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Event-Triggered Robust Adaptive Fuzzy Control for a Class of Nonlinear Systems
IEEE transactions on fuzzy systems, 2019This paper considers a robust adaptive fuzzy control problem for a class of uncertain nonlinear systems via an event-triggered control strategy. Fuzzy logic systems are used to approximate the unknown nonlinear functions in the nonlinear system.
Anqing Wang +3 more
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IEEE Transactions on Neural Networks and Learning Systems, 2019
This article presents a novel reinforcement learning strategy that addresses an optimal stabilizing problem for unknown nonlinear systems subject to uncertain input constraints.
Bo Zhao, Derong Liu, C. Luo
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This article presents a novel reinforcement learning strategy that addresses an optimal stabilizing problem for unknown nonlinear systems subject to uncertain input constraints.
Bo Zhao, Derong Liu, C. Luo
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A novel unscented Kalman filter for recursive state-input-system identification of nonlinear systems
Mechanical systems and signal processing, 2019The unscented Kalman filter (UKF) has proven to be an effective approach for the identification of nonlinear systems from limited output measurements.
Y. Lei +3 more
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