文献类型：期刊文献

英文题名：Constrained predictive control synthesis for quantized systems with Markovian data loss

作者：Zou, Yuanyuan[1];Lam, James[2];Niu, Yugang[1];Li, Dewei[3]

机构：[1]E China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem Processed, Shanghai 200237, Peoples R China;[2]Univ Hong Kong, Dept Mech Engn, Hong Kong, Hong Kong, Peoples R China;[3]Shaohai Jiao Tong Univ, Dept Automat, Shanghai, Peoples R China

年份：2015

卷号：55

起止页码：217

外文期刊名：AUTOMATICA

收录：;EI(收录号：20151700773590);WOS:【SCI-EXPANDED(收录号:WOS:000354340200027)】；

基金：This work is partially supported by an RGC grant HKU 7140/11E, National Natural Science Foundation of China (61273073, 61374107, 61374110), the Fundamental Research Funds for the Central Universities (222201314013), and the Cheung Kong Chair Professor Program, Ministry of Education, China. The material in this paper was not presented at any conference. This paper was recommended for publication in revised form by Associate Editor Tongwen Chen under the direction of Editor Ian R. Petersen.

语种：英文

外文关键词：Constrained control; Missing data; Model predictive control; Quantization; Stochastic stability

摘要：This paper investigates the predictive control synthesis problem for constrained feedback control systems with both missing data and quantization. By introducing a missing data compensation strategy and an augmented Markov jump linear model with polytopic uncertainties, the effects of data loss and quantization on the system performance are considered simultaneously. A robust predictive control synthesis approach involving data missing and recovering probabilities is developed by minimizing an upper bound on the expected value of an infinite horizon quadratic performance objective at each sampling instant. Additional conditions to satisfy the input constraint in the presence of multiple missing data are also incorporated into the model predictive control (MPC) synthesis. Furthermore, both the recursive feasibility of the proposed MPC algorithm and the closed-loop mean-square stability are proved. Simulation results are given to illustrate the effectiveness of the proposed approach. (C) 2015 Elsevier Ltd. All rights reserved.