Sliding mode control for non-linear networked control systems subject to packet disordering via prediction method

被引:9
作者
Lian, Bosen [1 ,2 ]
Zhang, Qingling [1 ,2 ]
Li, Jinna [2 ,3 ]
机构
[1] Northeastern Univ, Inst Syst Sci, Shenyang 110819, Liaoning, Peoples R China
[2] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang, Liaoning, Peoples R China
[3] Shenyang Univ Chem Technol, Lab Operat & Control, Shenyang 110142, Liaoning, Peoples R China
关键词
variable structure systems; networked control systems; nonlinear control systems; linearisation techniques; linear systems; stochastic systems; time series; robust control; H control; linear matrix inequalities; sliding mode control; nonlinear networked control systems; packet disordering; NCS; linearisation; stochastic parameter; linear Markovian jumping system; time series prediction model; robust H SMC; sampled disordering packets; H-INFINITY CONTROL; STOCHASTIC-SYSTEMS; TIME; DELAY; LOSSES;
D O I
10.1049/iet-cta.2016.1591
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This study investigates sliding mode control (SMC) for non-linear networked control systems (NCSs) subject to packet disordering as well as external disturbances. The main objectives of the proposed method are to predict packet disordering and to stabilise the NCSs in case of the unknown packet disordering in the future. Firstly, linearisation of non-linear systems and the technology of adopting the newest control input with a stochastic parameter are employed to model the system as a linear Markovian jumping system. Secondly, with the application of a time series prediction model, the phenomenon of disordering better under the novel measurement is portrayed. Then, robust H-infinity SMC is designed by solving the linear matrix inequalities (LMIs). Finally, examples with sampled disordering packets are simulated to illustrate the effectiveness and advantages of the proposed method.
引用
收藏
页码:3079 / 3088
页数:10
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