基于微分对策的双时间尺度系统事件触发鲁棒控制

IF 3.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Tian-Tian Yu, Yan-Wu Wang, Yan Lei, Zhi-Wei Liu
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引用次数: 0

摘要

研究了具有外部干扰的线性双时间尺度系统的事件触发鲁棒控制。为了降低控制成本和优化系统性能,将稳定性问题建模为控制策略与外部干扰之间的二人零和微分博弈。通过解耦TTSS和复合最优控制策略,得到了快速子对策和慢速子对策,从而得到了最坏干扰。在此基础上,利用Lyapunov稳定性理论对事件触发控制实现机制进行了理论分析,该机制能够处理连续控制平衡下的最坏扰动,实现系统的渐近镇定。此外,排除了快速和慢速子系统的芝诺行为。通过仿真算例和对比研究验证了所提理论结果的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Event-Triggered Robust Control of Two-Time-Scale Systems Based on Differential Game

This article studies the event-triggered robust control for linear two-time-scale systems (TTSSs) with external disturbance. To reduce control costs and optimize system performance, the stability problem is modeled as a two-player zero-sum differential game between the control policy and the external disturbance. Fast and slow subgames are derived by decoupling the TTSS and the composite optimal control strategy and the worst disturbance are obtained consequently. Furthermore, event-triggered control implementation mechanism is proposed with theoretical analysis using the Lyapunov stability theory, which can deal with the worst disturbance under the equilibrium of continuous control and realize the asymptotic stabilization of the system. Moreover, Zeno behavior of both the fast and slow subsystems is excluded. Simulation examples and a comparison study are conducted to illustrate the effectiveness of the proposed theoretical results.

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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.
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