Network-based output tracking control for T-S fuzzy systems using an event-triggered communication scheme

This paper is concerned with network-based output tracking control for a T-S fuzzy system. An event-triggered communication scheme, under which the threshold depends on the latest successfully transmitted sampled-data, is introduced to reduce network resource utilization. Taking the event-triggered communication scheme and the asynchronous operation between the fuzzy system and the fuzzy controller, the resulting system is modeled as an asynchronous threshold-error-dependent system with an interval time-varying delay. A new delay-dependent criterion for L-2-gain tracking performance of the asynchronous system is derived by applying the deviation bounds of asynchronous normalized membership functions. Based on this performance criterion, some criteria on the existence of the fuzzy tracking controller are established. A co-design algorithm is presented to obtain the control gains and the event-triggering parameters simultaneously. An example is given to illustrate the effectiveness of the proposed method. (C) 2015 Elsevier B.V. All rights reserved.

本文研究T - S模糊系统基于网络的输出跟踪控制。引入一种事件触发通信机制，其阈值取决于最新成功传输的采样数据，以降低网络资源利用率。考虑事件触发通信机制以及模糊系统和模糊控制器之间的异步操作，将所得到的系统建模为具有区间时变延迟的异步阈值误差相关系统。通过应用异步归一化隶属函数的偏差界，推导出异步系统L - 2增益跟踪性能的一个新的时滞相关准则。基于此性能准则，建立了模糊跟踪控制器存在的一些准则。提出一种协同设计算法以同时获取控制增益和事件触发参数。给出一个例子来说明所提方法的有效性。© 2015爱思唯尔有限公司。保留所有权利。