Tracking control of nonaffine systems with prescribed transient performance
Control and Decision Conference(2015)
摘要
This paper investigates the tracking control problem of a class of uncertain nonaffine systems. To achieve global tracking with guaranteed transient performance, a control strategy consisting of supervisory control and neural adaptive control is proposed. The supervisory sliding mode controller ensures that system states enter into a compact set exponentially and remain thereafter, and thereafter, the neural controller based on prescribed performance bound (PPB) is switched in. The global stability of system is proved by Lyapunov-based methodology. Simulation studies clarify and verify the approach.
更多查看译文
关键词
adaptive neural control,neural network (NN),nonaffine nonlinear systems,prescribed performance bound (PPB),supervisory control,tracking control,transient performance
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要