控制理论(社会学)
约束满足
数学优化
渲染(计算机图形)
约束(计算机辅助设计)
非线性系统
计算机科学
稳健性(进化)
数学
控制(管理)
人工智能
基因
物理
量子力学
生物化学
化学
概率逻辑
几何学
作者
Ye Cao,Zhixi Shen,Jianfu Cao,Danyong Li,Yongduan Song
出处
期刊:IEEE Transactions on Circuits and Systems I-regular Papers
[Institute of Electrical and Electronics Engineers]
日期:2023-04-13
卷期号:70 (7): 2957-2967
被引量:5
标识
DOI:10.1109/tcsi.2023.3264207
摘要
For systems with soft state constraints, initial violation in such constraints is acceptable if no feasible control strategy capable of maintaining such constraints exists or an excessively large amount of energy consumption is required for constraint satisfaction. However, whenever the constraint violation is detected, it is highly desirable that the states be regulated back to satisfy the constraints as soon as possible. In this paper, an approximation-free state feedback control scheme is proposed for unknown second-order nonlinear systems, capable of recovering the states from constraint violation to constraint satisfaction within the prescribed time. Besides, the implicit assumption of compatibility between different constraints in most existing works is removed, and a sufficient condition for compatibility of state constraints is established for unknown second-order systems. The proposed self-recovery control scheme has the following features: 1) the recovery time of the states can be preset by the user regardless of the initial conditions; 2) the proposed controller does not need any explicit information on system model, thus has strong robustness against model uncertainties and disturbances; and 3) no approximation technique (e.g., neural network and fuzzy system) is involved, rendering the proposed control structurally simple and computationally inexpensive.
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