控制理论(社会学)
模型预测控制
非线性系统
理论(学习稳定性)
计算机科学
控制(管理)
功能(生物学)
控制系统
数学优化
数学
工程类
生物
电气工程
机器学习
物理
人工智能
进化生物学
量子力学
作者
Huiping Li,Weisheng Yan,Yang Shi
标识
DOI:10.1109/tac.2018.2810514
摘要
This note studies the self-triggered MPC problem for constrained discrete-time nonlinear systems. A novel self-triggered MPC algorithm enabling the codesign of triggering and control is proposed, in which the communication cost is explicitly considered in the total cost function, and both the control and triggering intervals can be optimally designed. For constrained nonlinear systems, the theoretical conditions on ensuring feasibility and closed-loop stability are developed, and the achieved control and communication performance is proved to be guaranteed. In particular, the parameter design approaches for satisfying feasibility and stability conditions are further presented in the case of quadratic cost functions. Furthermore, stronger results are provided for linear case. Finally, the effectiveness and advantages are verified via simulation and comparison studies.
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