具有数据丢失的网络化控制系统的基于观测器的镇定

Observer-based Stabilization of Networked Control Systems with Data Dropout

研究具有数据丢失的网络化控制系统的基于观测器的镇定问题。受控对象是由T-S模糊模型描述的非线性时滞系统。把数据丢失过程建模成独立同分布过程。利用模糊Lyapunov函数方法得到了闭环系统随机稳定的充分条件,其基于观测器的反馈控制器可通过求解一组线性矩阵不等式来设计。一个仿真例子说明方法的有效性。

This paper deals with the problem of observer-based stabilization of networked control systems（NCSs） with transmitted data dropout. In the NCS under consideration, the plant is a timedelay nonlinear system that is represented by a Takagi-Sugeno（T-S） time-delay fuzzy system. The dropout process is modeled as an identically independently distributed process. Based on a fuzzy Lyapunov function method, a sufficient condition for the solvability of the problem is given. The observer and controller are constructed by solving a set of LMIs. A simulation example is provided to demonstrate the effectiveness of the proposed methods.