Results 251 to 260 of about 26,659,160 (338)
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Guaranteed Cost Control of Uncertain Networked Control Systems With a Hybrid Communication Scheme
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020This paper proposes a guaranteed cost control method for uncertain networked control systems with a hybrid communication scheme. First, a hybrid communication scheme including time-triggered control and periodic event-triggered control (ETC) is presented
Jin Zhang, Chen Peng
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Finite-time guaranteed cost control for uncertain mean-field stochastic systems
Journal of the Franklin Institute, 2020This paper deals with the finite-time guaranteed cost control problem for uncertain mean-field stochastic systems. Some sufficient conditions for the existence of state and output feedback finite-time guaranteed cost laws are given using finite-time ...
Xikui Liu, Qiming Liu, Yan Li
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Guaranteed cost control of hybrid-triggered networked systems with stochastic cyber-attacks.
ISA transactions, 2020This paper is concerned with guaranteed cost control for a hybrid-triggered networked system subject to stochastic cyber-attacks. First, a hybrid-triggered mechanism including time-triggered mechanism and event-triggered mechanism is proposed to mitigate
Jiancun Wu +4 more
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IEEE Transactions on Neural Networks and Learning Systems, 2018
This paper is concerned with the guaranteed cost control problem for a class of Markov jump discrete-time neural networks (NNs) with event-triggered mechanism, asynchronous jumping, and fading channels.
Huaicheng Yan +4 more
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This paper is concerned with the guaranteed cost control problem for a class of Markov jump discrete-time neural networks (NNs) with event-triggered mechanism, asynchronous jumping, and fading channels.
Huaicheng Yan +4 more
semanticscholar +1 more source
Robust guaranteed cost control for time‐delay fractional‐order neural networks systems
Optimal control applications & methods, 2019In this paper, we investigate the problem of guaranteed cost control of uncertain fractional‐order neural networks systems with time delays. By employing the Lyapunov‐Razumikhin theorem, a sufficient condition for designing a state‐feedback controller ...
Mai Viet Thuan, D. C. Huong
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Minimum Cost Control of Directed Networks With Selectable Control Inputs
IEEE Transactions on Cybernetics, 2019The minimum cost control problem is one of the most important issues in controlling complex networks. Different from the previous works, in this paper, we consider the minimum cost control problem with selectable inputs by adopting the cost function ...
Guoqi Li +3 more
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Guaranteed cost control of periodic piecewise linear time-delay systems
at - Automatisierungstechnik, 2018This paper is concerned with the guaranteed cost control problem for continuous-time periodic piecewise linear systems with time delay. Sufficient delay-dependent conditions of closed-loop asymptotic stability are presented based on an improved ...
Xiaochen Xie, J. Lam
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Learning and Guaranteed Cost Control With Event-Based Adaptive Critic Implementation
IEEE Transactions on Neural Networks and Learning Systems, 2018This paper focuses on the event-triggered guaranteed cost control design of nonlinear systems via a self-learning technique. In brief, an event-based guaranteed cost control strategy of nonlinear systems subjects to matched uncertainties is developed ...
Ding Wang, Derong Liu
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at - Automatisierungstechnik, 2018
Pareto-based guaranteed cost control (GCC) problem of uncertain mean-field stochastic systems is investigated in infinite horizon. Firstly, the Pareto game of nominal mean-field stochastic systems is studied.
Yaning Lin +2 more
semanticscholar +1 more source
Pareto-based guaranteed cost control (GCC) problem of uncertain mean-field stochastic systems is investigated in infinite horizon. Firstly, the Pareto game of nominal mean-field stochastic systems is studied.
Yaning Lin +2 more
semanticscholar +1 more source
Finite‐Time Guaranteed Cost Control of Caputo Fractional‐Order Neural Networks
Asian journal of control, 2018In this paper, we investigate the problem of finite‐time guaranteed cost control of uncertain fractional‐order neural networks. Firstly, a new cost function is defined.
Mai Viet Thuan +2 more
semanticscholar +1 more source

