title: Constrained off-line synthesis approach of model predictive control for networked control systems with network-induced delays.
abstract: This paper investigates the off-line synthesis approach of model predictive control (MPC) for a class of networked control systems (NCSs) with network-induced delays. A new augmented model which can be readily applied to time-varying control law, is proposed to describe the NCS where bounded deterministic network-induced delays may occur in both sensor to controller (S-A) and controller to actuator (C-A) links. Based on this augmented model, a sufficient condition of the closed-loop stability is derived by applying the Lyapunov method. The off-line synthesis approach of model predictive control is addressed using the stability results of the system, which explicitly considers the satisfaction of input and state constraints. Numerical example is given to illustrate the effectiveness of the proposed method.
authors.affiliation: Key Laboratory of Industrial Internet of Things & Networked Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing 400065, PR China. Electronic address: txmmyeye@126.com.
authors.forename: Xiaoming
authors.initials: X
authors.lastname: Tang
authors.affiliation: Key Laboratory of Industrial Internet of Things & Networked Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing 400065, PR China.
authors.forename: Hongchun
authors.initials: H
authors.lastname: Qu
authors.affiliation: Key Laboratory of Industrial Internet of Things & Networked Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing 400065, PR China.
authors.forename: Ping
authors.initials: P
authors.lastname: Wang
authors.affiliation: College of Automation, Chongqing University, Chongqing 400044, PR China.
authors.forename: Meng
authors.initials: M
authors.lastname: Zhao
keywords: Lyapunov method; Model predictive control; Network-induced delays; Networked control systems; Robust control