控制理论(社会学)
反推
模糊控制系统
观察员(物理)
模糊逻辑
跟踪误差
非线性系统
控制器(灌溉)
计算机科学
滤波器(信号处理)
自适应控制
数学
控制(管理)
人工智能
物理
生物
量子力学
计算机视觉
农学
作者
Guozeng Cui,Jinpeng Yu,Peng Shi
标识
DOI:10.1109/tfuzz.2020.3048518
摘要
This article considers the problem of finite-time adaptive fuzzy prescribed performance control (PPC) via output-feedback for nonstrict-feedback nonlinear systems. The fuzzy state observer is designed to estimate the unmeasured system states. To rapidly approximate the derivative of virtual signal, a novel finite-time command filter is proposed. The fractional power error compensation mechanism is established to remove filtered error. By integrating the PPC and command filter technique into backstepping recursive design, a finite-time adaptive output-feedback controller is constructed, and the stability of closed-loop system is strictly proved. The designed control strategy shows that the closed-loop system is practical finite-time stable, and the output tracking error converges to a residual set within prescribed performance bound in finite time. Finally, a numerical comparison and practical examples are provided to demonstrate the validity of the developed finite-time control algorithm.
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