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Delay-dependent H_∞ Fuzzy Observer-based Control For Discrete-time Nonlinear Systems With State Delay

机译:时滞离散非线性系统基于时滞的H_∞模糊观测器控制

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摘要

This paper studies the H_∞ fuzzy observer-based control problem for discrete-time nonlinear systems with state delay via a fuzzy Lyapunov-Krasovskii functional (LKF) approach. The Takagi and Sugeno (T-S) fuzzy model is employed to represent a discrete-time nonlinear system with state delay. Based on a non-parallel distributed compensation (PDC) scheme, a new fuzzy LKF is first constructed to derive a delay-dependent condition such that the closed-loop fuzzy system is asymptotically stable and satisfies a prescribed level of H_∞ disturbance attenuation. In the derivation process, two free fuzzy weighting matrices are introduced to express the relationship between the present state and delay state. Then, a novel linear matrix inequality (LMI) approach is proposed for the design of a delay-dependent H_∞ fuzzy observer-based controller. The control and observer matrices can be solved directly by using the existing LMI optimization techniques. Finally, a numerical example is given to illustrate the effectiveness of the proposed design method.
机译:本文通过模糊Lyapunov-Krasovskii泛函(LKF)方法研究了具有状态延迟的离散时间非线性系统的基于H_∞模糊观测器的控制问题。 Takagi和Sugeno(T-S)模糊模型用于表示具有状态延迟的离散时间非线性系统。基于非并行分布补偿(PDC)方案,首先构造一个新的模糊LKF来导出依赖于延迟的条件,以使闭环模糊系统渐近稳定并满足H_∞干扰衰减的规定水平。在推导过程中,引入了两个自由模糊加权矩阵来表示当前状态和延迟状态之间的关系。然后,提出了一种新颖的线性矩阵不等式(LMI)方法,用于基于延迟的H_∞模糊观测器控制器的设计。可以使用现有的LMI优化技术直接解决控制矩阵和观察者矩阵。最后,通过数值算例说明了所提设计方法的有效性。

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