反推
控制理论(社会学)
非线性系统
有界函数
跟踪误差
模糊控制系统
自适应控制
班级(哲学)
计算机科学
模糊逻辑
Lyapunov稳定性
理论(学习稳定性)
李雅普诺夫函数
控制(管理)
数学
控制系统
工程类
人工智能
数学分析
物理
机器学习
电气工程
量子力学
作者
Aissa Rebai,Kamel Guesmi
标识
DOI:10.1177/10775463221138647
摘要
This study provides an adaptive fuzzy control scheme for the class of nonlinear uncertain strict-feedback systems with external disturbances. The backstepping and synergetic control theories are used to develop a robust control approach for this class of systems. The unknown behaviors of the system are estimated through fuzzy systems. The stability is analyzed using the Lyapunov method, which shows that the proposed control method ensures that all the signals of the closed-loop system are bounded, and the tracking error converges approximately to zero. Two simulation examples are given to demonstrate the efficiency of the developed control approach.
科研通智能强力驱动
Strongly Powered by AbleSci AI