反推
微分器
控制理论(社会学)
非线性系统
有界函数
滤波器(信号处理)
计算机科学
补偿(心理学)
严格反馈表
国家(计算机科学)
李雅普诺夫函数
数学
控制(管理)
自适应控制
算法
量子力学
物理
数学分析
人工智能
计算机视觉
心理学
精神分析
作者
Qiming Lin,Pingfang Zhou,Dengping Duan
标识
DOI:10.1177/01423312221124648
摘要
This paper examines a finite-time command-filtered backstepping control proposed for a class of strict-feedback nonlinear systems with input delay and time-varying asymmetric full-state constraints. The existing control method either ignores the effect of input delay or converges asymptotically in infinite time. A command-filtered backstepping design is used to decrease computational burden. A first-order Levant differentiator is employed to replace the command filter for estimating the virtual control signals in finite time. The time-varying asymmetric barrier Lyapunov function (TVABLF) and command-filtered backstepping design are applied to alleviate the significant challenges caused by the backstepping approach and full-state constraints. A novel finite-time delay compensation mechanism is proposed to remove the impact of input delay. The closed-loop signals are proved to be practical bounded. Simulation results are provided to demonstrate the effectiveness of the proposed control scheme.
科研通智能强力驱动
Strongly Powered by AbleSci AI