奇异开关正向系统的异步非脆弱保证性能控制:事件触发机制

IF 3.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS International Journal of Robust and Nonlinear Control Pub Date : 2024-08-06 DOI:10.1002/rnc.7580
Jinling Wang, Qiang Li, Shuo Li, Linzhong Zhang
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引用次数: 0

摘要

摘要 本文探讨了一类奇异开关正系统的性能保证控制问题,其中开关信号受状态相关过程的影响。首先,讨论了所考虑系统的因果性、正则性、正向性和渐近稳定性。为了防止数据碰撞的发生并减少通信资源的消耗,应用了事件触发(E-T)机制。这是针对此类特殊系统引入 E-T 方案的初步尝试之一。此外,还设计了一种 E-T 调度方案下的异步非脆弱控制器,以确保所产生的闭环系统是因果的、正则的、正向的、渐近稳定的,并具有有保证的性能值。通过应用共正 Lyapunov 函数方法和最小投影策略,以线性规划(LP)的形式给出了相应的充分条件。最后,通过两个仿真实例验证了本文提出的控制器的有效性。
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Asynchronous nonfragile guaranteed performance control for singular switched positive systems: An event-triggered mechanism

This paper addresses the guaranteed performance control problem for a class of singular switched positive systems, where the switching signal is subject to a state-dependent process. Firstly, the causality, regularity, positivity, and asymptotical stability of the considered systems are discussed. In order to prevent the occurrence of data collisions and reduce the consumption of communication resources, the event-triggered (E-T) mechanism is applied. This is one of the initial attempts to introduce the E-T scheme for such special systems. Besides, an asynchronous nonfragile controller under the E-T scheduling scheme is designed to make certain that the resulting closed-loop systems are causal, regular, positive, asymptotically stable, and have a guaranteed performance value J $$ {J}^{\ast } $$ . Through the application of the co-positive Lyapunov function method and the min-projection strategy, the corresponding sufficient conditions are given in the form of linear programming (LP). Finally, the effectiveness of the controller proposed in this paper is verified via two simulation examples.

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来源期刊
International Journal of Robust and Nonlinear Control
International Journal of Robust and Nonlinear Control 工程技术-工程:电子与电气
CiteScore
6.70
自引率
20.50%
发文量
505
审稿时长
2.7 months
期刊介绍: Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.
期刊最新文献
Issue Information Disturbance observer based adaptive predefined-time sliding mode control for robot manipulators with uncertainties and disturbances Issue Information Issue Information A stabilizing reinforcement learning approach for sampled systems with partially unknown models
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