文献类型：期刊文献

英文题名：Event-Triggered Asynchronous Guaranteed Cost Control for Markov Jump Discrete-Time Neural Networks With Distributed Delay and Channel Fading

作者：Yan, Huaicheng[1,2];Zhang, Hao[1];Yang, Fuwen[3];Zhan, Xisheng[2];Peng, Chen[4]

机构：[1]East China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China;[2]Hubei Normal Univ, Coll Mechatron & Control Engn, Huangshi 435002, Peoples R China;[3]Griffith Univ, Sch Engn, Gold Coast, Qld 4222, Australia;[4]Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai 200072, Peoples R China

年份：2018

卷号：29

期号：8

起止页码：3588

外文期刊名：IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS

收录：;EI(收录号：20173504105937);WOS:【SCI-EXPANDED(收录号:WOS:000439627700023)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 61673178 and Grant 61673255, in part by the Shanghai International Science and Technology Cooperation Project under Grant 15220710700, in part by the Shanghai Shuguang Project under Grant 16SG28, in part by the Shanghai Natural Science Foundation under Grant 17ZR1444700 and Grant 17ZR1445800, in part by the Open Foundation of the First Level Zhejiang Key in key discipline of Control Science and Engineering, in part by the State Key Laboratory of Robotics and System under Grant SKLRS-2016-KF-03, in part by the Outstanding Youth Science and Technology Innovation Team in Hubei Province under Grant T201710, and in part by the Programme of Introducing Talents of Discipline to Universities under 111 Project B17017.

语种：英文

外文关键词：Asynchronous control; event-triggered mechanism; fading channels; guaranteed cost control; Markov jump neural networks

摘要：This paper is concerned with the guaranteed cost control problem for a class of Markov jump discrete-time neural networks (NNs) with event-triggered mechanism, asynchronous jumping, and fading channels. The Markov jump NNs are introduced to be close to reality, where the modes of the NNs and guaranteed cost controller are determined by two mutually independent Markov chains. The asynchronous phenomenon is considered, which increases the difficulty of designing required mode-dependent controller. The event-triggered mechanism is designed by comparing the relative measurement error with the last triggered state at the process of data transmission, which is used to eliminate dispensable transmission and reduce the networked energy consumption. In addition, the signal fading is considered for the effect of signal reflection and shadow in wireless networks, which is modeled by the novel Rice fading models. Some novel sufficient conditions are obtained to guarantee that the closed-loop system reaches a specified cost value under the designed jumping state feedback control law in terms of linear matrix inequalities. Finally, some simulation results are provided to illustrate the effectiveness of the proposed method.