Liu Jian, Ran Guangtao, Huang Yiqing, Han Chunsong, Yu Yao, Sun Changyin
IEEE Trans Cybern. 2022 Sep;52(9):9709-9721. doi: 10.1109/TCYB.2021.3053627. Epub 2022 Aug 18.
This article investigates the adaptive event-triggered finite-time dissipative filtering problems for the interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy Markov jump systems (MJSs) with asynchronous modes. By designing a generalized performance index, the H , L-L , and dissipative fuzzy filtering problems with network transmission delay are addressed. The adaptive event-triggered scheme (ETS) is proposed to guarantee that the IT2 T-S fuzzy MJSs are finite-time boundedness (FTB) and, thus, lower the energy consumption of communication while ensuring the performance of the system with extended dissipativity. Different from the conventional triggering mechanism, in this article, the parameters of the triggering function are based on an adaptive law, which is obtained online rather than as a predefined constant. Besides, the asynchronous phenomenon between the plant and the filter is considered, which is described by a hidden Markov model (HMM). Finally, two examples are presented to show the availability of the proposed algorithms.
本文研究了具有异步模式的区间二型（IT2）Takagi-Sugeno（T-S）模糊马尔可夫跳跃系统（MJSs）的自适应事件触发有限时间耗散滤波问题。通过设计一个广义性能指标，解决了具有网络传输延迟的H∞、L2-L∞和耗散模糊滤波问题。提出了自适应事件触发方案（ETS），以保证IT2 T-S模糊MJSs是有限时间有界的（FTB），从而在确保系统具有扩展耗散性的同时降低通信能耗。与传统触发机制不同，本文中触发函数的参数基于自适应律，该自适应律是在线获得的，而不是作为预定义常数。此外，考虑了被控对象与滤波器之间的异步现象，并用隐马尔可夫模型（HMM）进行描述。最后，给出两个例子来说明所提算法的有效性。
