具有周期性 LTV 动态的马尔可夫模式切换下的鲁棒控制器合成

Shaurya Shrivastava, Kenshiro Oguri
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引用次数: 0

摘要

在这项工作中,我们针对周期性时变马尔可夫跳跃线性系统提出了基于 LMI 的新型控制器合成框架。我们首先讨论了均方稳定性的必要条件,并推导出类似于 Lyapunov 的稳定性保证条件。为了放宽对稳定性的严格要求,我们引入了一个新的标准,它不要求 Lyapunov 函数在每个时间步下降。此外,我们还将这些稳定性定理纳入了基于 LMI 的控制器合成框架,同时考虑了两个独立的问题:二次成本最小化和吸引力区域最大化。
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Robust Controller Synthesis under Markovian Mode Switching with Periodic LTV Dynamics
In this work, we propose novel LMI-based controller synthesis frameworks for periodically time-varying Markov-jump linear systems. We first discuss the necessary conditions for mean square stability and derive Lyapunov-like conditions for stability assurance. To relax strict stability requirements, we introduce a new criterion that doesn't 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 a quadratic cost, and maximizing the region of attraction. Numerical simulations verify the controllers' stability and showcase its applicability to fault-tolerant control.
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