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采用T-S模糊模型方法研究非线性网络控制系统的保性能控制问题。在系统状态不可得的情况下采用模糊观测器估计网络系统状态。利用并行分布补偿方法,根据合适的Lyapunov-Krasovskii函数建立基于模糊观测器的闭环系统鲁棒稳定的充分条件,该充分条件具有线性矩阵不等式形式,能够采用数值稳定的计算方法。仿真结果证明,所提出的控制器和观测器设计方法的有效性。
The T-S fuzzy model method is used to study the guaranteed cost control of nonlinear networked control systems. The fuzzy observer is used to estimate the status of network system when system state is not available. Using the parallel distributed compensation method, the sufficient conditions for the robust stability of the closed-loop system based on fuzzy observer are established according to the Lyapunov-Krasovskii function. The sufficient condition has the form of linear matrix inequalities and the numerical stable method can be used. The simulation results show that the proposed controller and observer design methods are effective.