文献类型：期刊文献

英文题名：Genetic-Algorithm-Assisted Sliding-Mode Control for Networked State-Saturated Systems Over Hidden Markov Fading Channels

作者：Song, Jun[1];Wang, Zidong[2,3];Niu, Yugang[1];Dong, Hongli[4,5]

机构：[1]East China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China;[2]Shandong Univ Sci & Technol, Coll Elect Engn & Automat, Qingdao 266590, Peoples R China;[3]Brunel Univ London, Dept Comp Sci, Uxbridge UB8 3PH, Middx, England;[4]Northeast Petr Univ, Inst Complex Syst & Adv Control, Daqing 163318, Peoples R China;[5]Northeast Petr Univ, Heilongjiang Prov Key Lab Networking & Intelligen, Daqing 163318, Peoples R China

年份：2021

卷号：51

期号：7

起止页码：3664

外文期刊名：IEEE TRANSACTIONS ON CYBERNETICS

收录：;EI(收录号：20213310758535);WOS:【SCI-EXPANDED(收录号:WOS:000665001500022)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 61903143, Grant 61933007, Grant 61873058, Grant 61873148, Grant 61673174, and Grant 61773162, in part by the Research Fund for the Taishan Scholar Project of Shandong Province of China, in part by the Shanghai Sailing Program of China under Grant 19YF1412100, in part by the 111 Project of China under Grant B17017, in part by the Royal Society of the U.K., and in part by the Alexander von Humboldt Foundation of Germany.

语种：英文

外文关键词：Fading channels; Hidden Markov models; Actuators; Markov processes; Genetic algorithms; Sliding mode control; Detectors; Finite-state fading channels; genetic algorithm (GA); hidden Markov model (HMM); sliding-mode control (SMC); state saturation

摘要：The sliding-mode control (SMC) problem is studied in this article for state-saturated systems over a class of time-varying fading channels. The underlying fading channels, whose channel fading amplitudes (characterized by the expectation and variance) are allowed to be different, are modeled as a finite-state Markov process. A key feature of the problem addressed is to use a hidden Markov mode detector to estimate the actual network mode. The novel model of hidden Markov fading channels (HMFCs) is shown to be more general yet practical than the existing fading channel models. Based on a linear sliding surface, a switching-type SMC law is dedicatedly constructed by just using the estimated network mode. By exploiting the concept of stochastic Lyapunov stability and the approach of hidden Markov models, sufficient conditions are obtained for the resultant SMC systems that ensure both the mean-square stability and the reachability with a sliding region. With the aid of the Hadamard product, a binary genetic algorithm (GA) is developed to solve the proposed SMC design problem subject to some nonconvex constraints induced by the state saturations and the fading channels, where the proposed GA is based on the objective function for optimal reachability. Finally, a numerical example is employed to verify the proposed GA-assisted SMC scheme over the HMFCs.