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首页> 外文期刊>International journal of systems science >Observer-based control for uncertain T-S fuzzy systems with process disturbances and time-delays
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Observer-based control for uncertain T-S fuzzy systems with process disturbances and time-delays

机译:基于观测器的过程干扰和时间延迟的T-S模糊系统控制

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This paper concerns the observer-based robust control for uncertain Takagi-Sugeno(T-S) fuzzy systems with disturbances and time delays. An observer is firstly employed to estimate the system state, afterwards, a memorise feedback control law is furthermore proposed. Since the observer state can not be directly influenced by the system uncertainties and disturbances, the proposed control law brings merit on improving system robustness. A mode-dependent Lyapunov-Krasovskii functional (LKF) is designed. By aid of a linear decoupling method, the original nonlinear pair of the observer and the controller gains can be feasibly decoupled. By this method, the co-design method of the observer and controller is conveniently presented. In presence of the time-varying delays, process disturbances and the system uncertainties, the asymptotical stability of the closed-loop system can be guaranteed. Numerical example is given the validate effectiveness of the proposed method.
机译:本文涉及具有干扰和时间延迟的不确定Takagi-Sugeno(T-S)模糊系统的观察者的鲁棒控制。首先使用观察者来估计系统状态,之后,还提出了记忆反馈控制规律。由于观察者国家不能直接受到系统不确定性和干扰的影响,因此提出的控制法为改善系统稳健性带来了优点。设计了一种依赖模式的Lyapunov-Krasovskii功能(LKF)。通过借助线性去耦方法,原始非线性对观察者和控制器增益可以是可行的去耦的。通过这种方法,方便地呈现了观察者和控制器的共定设计方法。在存在时变延迟的情况下,可以保证闭环系统的渐近稳定性。数值例子是验证了所提出的方法的有效性。

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