控制理论(社会学)
反推
观察员(物理)
模糊逻辑
模糊控制系统
非线性系统
跟踪误差
滤波器(信号处理)
计算机科学
数学
自适应控制
控制(管理)
人工智能
物理
量子力学
计算机视觉
作者
Libin Wang,Huanqing Wang,Peter Liu,Song Ling,Siwen Liu
出处
期刊:IEEE Transactions on Fuzzy Systems
[Institute of Electrical and Electronics Engineers]
日期:2022-01-01
卷期号:30 (1): 97-107
被引量:52
标识
DOI:10.1109/tfuzz.2020.3032784
摘要
This article presents a fuzzy finite-time command filtering output feedback control method for a class of nonlinear systems. A fast convergent output feedback control algorithm based on backstepping finite-time command filtering is developed. Fuzzy logic system is used to estimate uncertain functions in nonlinear systems. A fuzzy state observer is designed to measure the unknown state. The developed finite-time command filtering feedback control method overcomes well the computational complexity problem due to the calculation of the derivatives of virtual control signals. A compensation mechanism is also introduced to compensate for the error caused by the filter. The proposed method ensures not only that all signals in the closed-loop system are finite-time bound, but also that the tracking error converges to a small neighborhood around the origin. The effectiveness of the proposed method is demonstrated in the simulation results.
科研通智能强力驱动
Strongly Powered by AbleSci AI