Event-Triggered Adaptive Output Feedback Control for a Class of Uncertain Nonlinear Systems With Actuator Failures
Event-Triggered Adaptive Output Feedback Control for a Class of Uncertain Nonlinear Systems With Actuator Failures
复制标题
DOI：
10.1109/tcyb.2018.2868169
复制
发表时间：
2020-01
影响因子：
11.8
通讯作者：
Cui‐Hua Zhang;Guanghong Yang
中科院分区：
文献类型：
--
作者：
Cui‐Hua Zhang;Guanghong Yang
研究了一类不确定非线性系统在执行器失效和控制方向未知的情况下的事件触发自适应输出反馈控制问题。利用自适应反演技术，设计了一种基于事件的输出反馈控制器，并结合时变事件触发规则。在本设计中，首先引入径向基函数神经网络算法来识别系统的未知项。然后，设计了一种具有自适应补偿的状态观测器来估计状态向量。总体控制策略保证了输出信号跟踪参考信号，闭环系统的所有信号都是有界的。与现有控制方法不同，该控制方案可以处理执行器失效故障、事件触发规则和未知控制方向所引起的耦合项。最后，通过一个算例验证了所提策略的有效性。
This paper investigates the event-triggered adaptive output feedback control problem for a class of uncertain nonlinear systems in the presence of actuator failures and unknown control direction. By utilizing the adaptive backstepping technique, an event-based output feedback controller is developed together with a time-variant event-triggered rule. In this design, the radial basis function neural network algorithms are first introduced to identify the unknown terms of the systems. Then, a new state observer with adaptive compensation is designed to estimate the state vector. The overall control strategy guarantees that the output signal tracks the reference signal and all the signals of the closed-loop systems are bounded. Unlike the existing methods, the proposed control scheme can handle the coupling term incurred by the loss of effectiveness fault of the actuator, the event-triggered rule, and unknown control direction. Finally, an example is performed to demonstrate the validity of the proposed strategy.