Asynchronous Extended Dissipative Filtering for T–S Fuzzy Markov Jump Systems
研究了连续时间T-S模糊马尔可夫跳变系统的异步可靠扩展耗散滤波问题，通过双变量解耦原理和变量替换原理，提出了保证滤波误差系统随机稳定和扩展耗散的新条件，结果比现有方法更少保守、更一般。
This article is concerned with the asynchronous reliable extended dissipative filtering problem for a class of continuous-time T–S fuzzy Markov jump systems. The modes of the encountered sensor failures and the designed filter are considered to be asynchronous with the original systems, which can be described by two mutually independent hidden Markov processes. By proposing double variables-based decoupling principle and variable substitution principle, a new condition is presented to guarantee the filtering error system to be stochastically stable and extended dissipative. Compared with the existing works, the proposed method does not impose constraints on Lyapunov variables and slack variables, and some unnecessary constraints on the system structure are removed. These directly lead to less conservative and more general results. An example is provided to illustrate the effectiveness of the proposed design method.