Robust Model Predictive Control for Linear Systems via Self-Triggered Pseudo Terminal Ingredients

被引：6
作者：
Yang, Weilin [1 ]
Xu, Dezhi [1 ]
Jin, Lincheng [2 ]
Jiang, Bin [3 ]
Shi, Peng [4 ]
机构：
[1] Jiangnan Univ, Sch Internet Things Engn, Wuxi 214122, Jiangsu, Peoples R China
[2] State Grid Huaian Power Supply Co, Huaian 223001, Jiangsu, Peoples R China
[3] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 211106, Peoples R China
[4] Univ Adelaide, Sch Elect & Elect Engn, Adelaide, SA 5005, Australia
来源：
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS | 2022年 / 69卷 / 03期
基金：
中国国家自然科学基金; 美国国家科学基金会;
关键词：
Costs; Cost function; Computational modeling; Predictive models; Predictive control; Linear systems; Control systems; Model predictive control; self-triggered mechanism; pseudo terminal ingredients; MPC; TIME; CONSENSUS; STRATEGY;
D O I：
10.1109/TCSI.2021.3132922
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Self-triggered pseudo terminal ingredients are proposed in this study for the classic dual-mode robust model predictive control (RMPC) of discrete-time linear systems. By resorting to the off-line design of pseudo terminal ingredients, viz. pseudo terminal set and pseudo terminal cost, the optimization problem to be solved online is transformed into several subproblems with short prediction horizons. Furthermore, the controller design is based on the nominal system state, which enables a self-triggered mechanism during the implementation. The proposed approach is able to steer the system state into a predetermined terminal constraint set via intermittent samplings. The resultant computational and communicational burden for the online part is significantly reduced, which brings great convenience for band-limited practical systems. Simulations demonstrate the effectiveness of the proposed approach.
引用
收藏
页码：1312 / 1322
页数：11
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