Robust model predictive control with randomly occurred networked packet loss in industrial cyber physical systems

作     者：CAI Hong-bin LI Ping SU Cheng-li CAO Jiang-tao 蔡宏斌;李平;苏成利;曹江涛

作者机构：School of Automation Northwestern Polytechnical University Xi'an 710072 China School of Information and Control Engineering Liaoning Shihua University Fushun 113001 China 

出 版 物：《Journal of Central South University》 (中南大学学报（英文版）)

年 卷 期：2019年第26卷第7期

页      面：1921-1933页

核心收录：

学科分类：0711[理学-系统科学] 07[理学] 08[工学] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 071102[理学-系统分析与集成] 081103[工学-系统工程] 

基　　金：Project(61673199)supported by the National Natural Science Foundation of China Project(ICT1800400)supported by the Open Research Project of the State Key Laboratory of Industrial Control Technology,Zhejiang University,China 

主　　题：robust model predictive control networked control system packet loss linear matrix inequalities (LMIs) 

摘      要：For a class of linear discrete-time systems that is subject to randomly occurred networked packet loss in industrial cyber physical systems, a novel robust model predictive control method with active compensation mechanism was proposed. The probability distribution of packet loss is described as the Bernoulli distributed white sequences. By using the Lyapunov stability theory, the existing sufficient conditions of the controller are derived from solving a group of linear matrix inequalities. Moreover, dropout-rate with uncertainty and unknown dropout-rate are also considered, which can greatly reduce the conservativeness of the controller. The designed robust model predictive control method not only efficiently eliminates the negative effects of the networked data loss in industrial cyber physical systems but also ensures the stability of closed-loop system. Two examples were provided to illustrate the superiority and effectiveness of the proposed method.