Title :
A synthesis approach to predictive control for networked control systems
Author :
Yuanyuan Zou ; James, Lam ; Yugang Niu ; Dewei Li
Author_Institution :
Key Lab. of Adv. Control & Optimization for Chem. Process, East China Univ. of Sci. & Technol., Shanghai, China
Abstract :
This paper studies a synthesis approach to predictive control for networked control systems with data loss and quantization. An augmented Markov jump linear model with polytopic uncertainties is modeled to describe the quantization errors and possible data loss. Based on this model, a predictive control synthesis approach is developed, which involves online optimization of a infinite horizon objective and conditions to deal with system constraints. The proposed MPC algorithm guarantees closed-loop mean-square stability and constraints satisfaction.
Keywords :
Markov processes; control system synthesis; linear systems; networked control systems; optimisation; predictive control; quantisation (signal); stochastic systems; MPC algorithm; augmented Markov jump linear model; closed-loop mean-square stability; constraint satisfaction; data loss; infinite horizon objective; networked control systems; online optimization; polytopic uncertainties; predictive control synthesis approach; quantization errors; system constraints; Data models; Educational institutions; Networked control systems; Predictive control; Quantization (signal); Symmetric matrices; Networked Control Systems; Predictive Control; Stabilit;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6896286
