微分器
反推
控制理论(社会学)
非线性系统
跟踪(教育)
控制工程
计算机科学
转子(电动)
非线性控制
工程类
控制(管理)
自适应控制
物理
人工智能
电气工程
滤波器(信号处理)
量子力学
教育学
心理学
作者
Jiaxing Yang,Xuebo Yang,Xiaolong Zheng
标识
DOI:10.1109/tase.2025.3591880
摘要
This paper proposes a nonlinear tracking differentiator-based prescribed performance zeta-backstepping control method for uncertain nonlinear systems with unmodeled dynamics and external disturbances. Unlike traditional prescribed performance control methods, the proposed approach allows direct adjustment of the system damping ratio through parameter regulation while ensuring that the tracking error remains within prescribed performance boundaries. To address unmodeled dynamics and external disturbances, the developed feedforward-compensated nonlinear tracking differentiator provides uncertainty estimation. The analysis of a second-order linear differential equation inequality rigorously proves that the closed-loop system achieves adjustable damping characteristics and guaranteed error performance. Finally, this control method is applied to a quad-rotor hover system, and experimental results confirm its effectiveness and advantages.
科研通智能强力驱动
Strongly Powered by AbleSci AI