周期LTV动态马尔可夫模式切换下的鲁棒控制器综合

IF 2 Q2 AUTOMATION & CONTROL SYSTEMS IEEE Control Systems Letters Pub Date : 2024-12-23 DOI:10.1109/LCSYS.2024.3522212
Shaurya Shrivastava;Kenshiro Oguri
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引用次数: 0

摘要

在这封信中,我们提出了一种新的基于lmi的控制器综合框架,用于具有周期性时变动力学的离散马尔可夫跳变系统。讨论了均方稳定性的充分必要条件,导出了稳定性保证的类李雅普诺夫条件。为了放宽严格的稳定性要求,我们引入了一个新的判据,该判据不要求Lyapunov函数在每个时间步长都减小。此外,我们将这些稳定性定理整合到基于lmi的控制器综合框架中,同时考虑两个独立的问题:最小化二次代价的上界和最大化吸引区域,同时保证稳定性。数值仿真验证了该控制器的稳定性,并证明了其在容错控制中的适用性。
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Robust Controller Synthesis Under Markovian Mode Switching With Periodic LTV Dynamics
In this letter, we propose novel LMI-based controller synthesis frameworks for discrete-time Markov-jump systems with periodically time-varying dynamics. We discuss necessary and sufficient conditions for mean square stability and derive Lyapunov-like conditions for stability assurance. To relax strict stability requirements, we introduce a new criterion that does not require the Lyapunov function to decrease at each time step. Further, we incorporate these stability theorems in LMI-based controller synthesis frameworks while considering two separate problems: minimizing an upper bound of a quadratic cost and maximizing the region of attraction, all while guaranteeing stability. Numerical simulations verify the controllers’ stability and showcase its applicability to fault-tolerant control.
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来源期刊
IEEE Control Systems Letters
IEEE Control Systems Letters Mathematics-Control and Optimization
CiteScore
4.40
自引率
13.30%
发文量
471
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