基于T-S 模糊模型的采样数据网络控制系统H∞ 输出跟踪控制

研究具有采样数据的基于T-S (Takagi-Sugeno) 模糊模型网络控制系统H输出跟踪控制问题. 提出将采集器端数据采样周期、数据传输时滞和数据丢包转换为零阶保持器端数据更新周期, 在此基础上, 利用输入时滞法和PDC (Parallel distributed compensation) 技术, 建立网络环境下被控对象和参考模型合并的基于T-S 模糊模型的增广系统模型. 通过Lyapunov 方法, 并充分利用采样特性, 给出系统实现H输出跟踪的充分条件, 以及可靠模糊控制器的设计. 仿真结果表明所设计模糊控制器能够实现该类系统良好的跟踪.

H∞ Output Tracking Control for Sampled-data Networked Control Systems in T-S Fuzzy Model

This paper studies the problem of H_∞ output tracking control for sampled-data networked control systems in T-S (Takagi-Sugeno) fuzzy model. By using input-delay and parallel distributed compensation (PDC) techniques, an augment tracking model based on T-S fuzzy model is firstly established,in which the sampling period of the sampler, signal transmission delay and data packet dropouts are transformed to the refreshing interval of a zero-order holder. Furthermore, Lyapunov method is employed to derive several su±cient criteria ensuring the prescribed H_∞ tracking performance. Meanwhile, a fuzzy controller design is also presented. Finally, a numerical example is given to illustrate that the designed fuzzy controller can realize good tracking.