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

Content Provider	IET Digital Library
Author	Lian, Bosen Zhang, Qingling Li, Jinna
Abstract	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 ∞ 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.
Starting Page	3079
Ending Page	3088
Page Count	10
ISSN	17518644
Volume Number	11
e-ISSN	17518652
Issue Number	Issue 17, Nov (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/11/17
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2016.1591
Journal	IET Control Theory & Applications
Publisher Date	2017-08-31
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Algebra H∞ Control Linear Markovian Jumping System Linear Matrix Inequalities Linear System Linearisation Linearisation Technique Multivariable Control System NCS Networked Control System Nonlinear Control System Nonlinear Networked Control System Optimal Control Packet Disordering Robust Control Robust H∞ SMC Sampled Disordering Packet Sliding Mode Control Stability in Control Theory Stochastic Parameter Stochastic System Time Series Time Series Prediction Model Time Varying Control System Variable Structure System
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

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