Distributed MPC Algorithm for Linear Discrete Systems with Communication Noise

被引：0
|
作者：
Zhao, Duqiao [1 ,2 ]
Liu, Ding [1 ,2 ]
Liu, Linxiong [1 ,2 ]
Zhan, Xia [1 ,2 ]
机构：
[1] Xian Univ Technol, Natl & Local Joint Engn Res Ctr Crystal Growth Eq, Xian 710048, Peoples R China
[2] Shaanxi Key Lab Complex Syst Control & Intelligen, Xian 710048, Peoples R China
来源：
2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC) | 2021年
基金：
高等学校博士学科点专项科研基金; 中国国家自然科学基金;
关键词：
Distributed MPC; Bounded Communication Noise; Random Communication Faults; Distributed Projection Dual Subgradient; Row Stochastic; MODEL-PREDICTIVE CONTROL; CONVEX-OPTIMIZATION;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a distributed MPC algorithm is proposed for linear discrete systems with bounded communication noise and random communication failure. Based on the characteristics of time-varying directed graphs, the convergence of the algorithm is analyzed in the case of communication noise and random communication failure. This algorithm uses the distributed projection dual subgradient algorithm to solve the dual problem and replaces the double stochastic condition of the traditional algorithm with row stochastic condition. The exponential stability of the system is guaranteed. Finally, an example is given to illustrate the performance of the algorithm.
引用
收藏
页码：5321 / 5326
页数：6
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