控制理论(社会学)
执行机构
容错
观察员(物理)
计算机科学
控制重构
控制(管理)
人工神经网络
李雅普诺夫函数
控制工程
工程类
非线性系统
分布式计算
人工智能
物理
量子力学
嵌入式系统
作者
Xiaojia Li,Hongde Qin,Lingyu Li,Yanchao Sun
摘要
Abstract Considering the existence of communication delays, the adaptive fault‐tolerant control problems for constrained multiple Euler–Lagrange systems are considered in this paper. First, a communication delays observer is utilized to enable all followers can acquire the leader's state information. Second, based on neural network technique, two distributed coordinated control schemes are designed to make every follower can track the leader. Compared with the first control algorithm, the adaptive fault‐tolerant control problem is further considered in the second control algorithm. The proposed algorithm can simultaneously compensate the actuator bias faults and the partial loss of actuation effectiveness faults. At the same time, a tan‐type barrier Lyapunov function is used to constrain the tracking errors of all followers and the leader. Finally, the simulations show the effectiveness of the proposed control schemes.
科研通智能强力驱动
Strongly Powered by AbleSci AI