Adaptive fuzzy control for pure-feedback systems with full state constraints and unknown nonlinear dead zone
作者：
Highlights：
• Although the pure-feedback systems have been studied in previous works, to our best knowledge, it is the first time to design a control scheme for pure-feedback time-varying delay systems with full state constraints and unknown dead zone.
• A novel Barrier Lyapunov-Krasovskii functional is employed to address the time-varying delay problem occurred in the system.
• Differing from integral BLFs and DSC strategies constructed in [8,21,42] for pure-feedback systems which involved many parameters. In this paper, we adopt less parameters to develop a control method which brings greater convenience.
摘要
•Although the pure-feedback systems have been studied in previous works, to our best knowledge, it is the first time to design a control scheme for pure-feedback time-varying delay systems with full state constraints and unknown dead zone.•A novel Barrier Lyapunov-Krasovskii functional is employed to address the time-varying delay problem occurred in the system.•Differing from integral BLFs and DSC strategies constructed in [8,21,42] for pure-feedback systems which involved many parameters. In this paper, we adopt less parameters to develop a control method which brings greater convenience.
论文关键词：Pure-feedback systems,Full state constraints,Barrier Lyapunov functions,Dead zone,Time-varying delay
论文评审过程：Received 27 May 2018, Revised 8 August 2018, Accepted 9 September 2018, Available online 24 October 2018, Version of Record 24 October 2018.
论文官网地址：https://doi.org/10.1016/j.amc.2018.09.016
