Self-triggered model predictive control for switched systems with dwell time constraints

被引:0
|
作者
Zhang, Fusen [1 ]
Lian, Jie [1 ]
Wu, Feiyue [1 ]
机构
[1] Dalian Univ Technol, Key Lab Intelligent Control & Optimizat Ind Equip, Minist Educ, Sch Control Sci & Engn, Dalian 116024, Peoples R China
来源
39TH YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION, YAC 2024 | 2024年
基金
美国国家科学基金会;
关键词
Self-triggered MPC; switched systems; dwell time constraints; recursive feasibility and stability; LINEAR-SYSTEMS; INVARIANT-SETS; STABILITY; COMPUTATION;
D O I
10.1109/YAC63405.2024.10598629
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposes a new self-triggered model predictive control (MPC) strategy for switched systems under dwell time (DT) constraints. The strategy combines the advantages of self-triggering mechanism and switching control, thereby having a good performance in saving computing resources and adapting to complex engineering practices. To guarantee the feasibility of the switched MPC strategy under the self-triggering framework, the concept of feasible truncated admissible switching sequence (f-TAS) is proposed to solve the constraint violation problem caused by the switching behavior and guarantee the flexible index. Besides, the self-triggering mechanism is developed to overcome the divergence of the Lyapunov function by using the self-triggered relaxation, thus ensuring the sub-optimal performance. Simulation example shows that the algorithm effectively saves the computing resources while ensuring the feasibility and sub-optimal performance.
引用
收藏
页码:863 / 868
页数:6
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