T-S模糊时滞系统的鲁棒输出反馈控制

Chian-Song Chiu, W. Yang, Tung-Sheng Chiang
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引用次数: 1

摘要

提出了具有状态和输入时滞的不确定T-S模糊系统的输出反馈控制方法。首先,提出了一种基于模糊观测器的不确定时滞模糊系统的动态控制方法。基于动态控制方案,将输入时延与系统状态解耦,使系统稳定条件变得简单。然后,导出了鲁棒稳定性条件,并利用一种新的Lyapunov函数将其转化为求解线性矩阵不等式问题。反过来,即使在存在建模不确定性、状态延迟和输入延迟的情况下,控制器和观测器增益也能够单独设计。与现有文献相比,在更宽松的时滞条件下,保证了控制状态和状态估计误差的渐近稳定。数值模拟和对比结果验证了预期的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust output feedback control of T-S fuzzy time-delay systems
This paper proposes output feedback control for uncertain T-S fuzzy systems with state and input delays. First, a fuzzy observer-based dynamic control method is introduced for stabilizing uncertain time-delay fuzzy systems. Based on the dynamic control scheme, the input delay is decoupled with the system states, so that the stability condition becomes simpler. Then, the robust stability conditions are derived and converted to solving linear matrix inequality problems (LMIPs) by a novel Lyapunov function. In turn, the controller and observer gains are able to be separately designed even in the presence of modeling uncertainty, state delay, and input delay. In comparison with current literatures, the controlled states and state estimation errors are guaranteed to be asymptotically stable with more relaxed conditions on the time delays. Numerical simulation and comparison results demonstrate the expected performance.
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