反推
控制理论(社会学)
非线性系统
趋同(经济学)
计算机科学
控制(管理)
理论(学习稳定性)
跟踪误差
上下界
常量(计算机编程)
过程(计算)
数学
自适应控制
人工智能
物理
量子力学
数学分析
机器学习
经济
程序设计语言
经济增长
操作系统
作者
Bojun Liu,Mingshan Hou,Cihang Wu,Wencong Wang,Zhonghua Wu,Bing Huang
摘要
Abstract Two novel predefined‐time control algorithms for a nonlinear strict‐feedback system are proposed in this short communication. It is required that the upper bound of system convergence time is exactly a positive constant parameter in each algorithm, and it can be selected arbitrarily by users. Composite state tracking errors are introduced to the backstepping design process by using some novel smooth time‐varying tuning functions. In order to address the problem of explosion of complexity in the first algorithm, the second algorithm extends the predefined‐time control strategy to a dynamic surface control (DSC) case. Furthermore, the proposed predefined‐time DSC algorithm can guarantee global stability rather than semi‐global stability for the closed‐loop system compared with traditional DSC algorithms. Simulation results show the effectiveness of the two control schemes.
科研通智能强力驱动
Strongly Powered by AbleSci AI