这份报纸用 Takagi-Sugeno (T-S ) 为非线性的联网的控制系统(NCS ) 的一个类调查柔韧的追踪控制问题模糊模型途径。基于从 NCS 转变的一个变化时间的延期系统,包含更有用的信息的扩充 Lyapunov 功能被构造。一个不太保守的足够的条件被建立以便靠近环的系统稳定性和时间域积分当变化时间的导致网络的延期和包损失被考虑时,二次的限制(IQC ) 满足。模糊追踪控制器设计计划以线性矩阵不平等(LMI ) 被导出,平行散布了赔偿(PDC ) 。而且,为非线性的 NCS 的柔韧的稳定标准作为追踪的控制结果的扩展被给。最后,数字模拟被提供说明建议方法的有效性和优点。
This paper investigates the robust tracking control problcm for a class of nonlinear networked control systems (NCSs) using the Takagi-Sugeno (T-S) fuzzy model approach. Based on a time-varying delay system transformed from the NCSs, an augmented Lyapunov function containing more useful information is constructed. A less conservative sufficient condition is established such that the closed-loop systems stability and time-domain integral quadratic constraints (IQCs) are satisfied while both time-varying network- induced delays and packet losses are taken into account. The fuzzy tracking controllers design scheme is derived in terms of linear matrix inequalities (LMIs) and parallel distributed compensation (PDC). Furthermore, robust stabilization criterion for nonlinear NCSs is given as an extension of the tracking control result. Finally, numerical simulations are provided to illustrate the effectiveness and merits of the proposed method.