Event-triggered adaptive reliable guaranteed performance control for uncertain nonlinear systems with abrupt non-affine faults
作者：
Highlights：
• An abrupt non-affine nonlinear fault is considered in this paper, and mean-value theorem and Nussbaum function are introduced.
• A novel event-triggered control strategy with relative threshold is proposed in this paper. The proposed control strategy can not only effectively reduce the consumption of transmission resources between the plant and controller, but also avoid the Zeno behavior.
• In order to guarantee better transient performance, this paper introduces the PPB method. The developed constraint strategy successfully achieve better transient performance under event-triggered control and abrupt non-affine fault.
摘要
•An abrupt non-affine nonlinear fault is considered in this paper, and mean-value theorem and Nussbaum function are introduced.•A novel event-triggered control strategy with relative threshold is proposed in this paper. The proposed control strategy can not only effectively reduce the consumption of transmission resources between the plant and controller, but also avoid the Zeno behavior.•In order to guarantee better transient performance, this paper introduces the PPB method. The developed constraint strategy successfully achieve better transient performance under event-triggered control and abrupt non-affine fault.
论文关键词：Adaptive backstepping control,Event-triggered control,Abrupt non-affine faults,Radial basis function neural networks,Nonlinear strict-feedback systems
论文评审过程：Received 10 December 2019, Revised 9 February 2020, Accepted 29 March 2020, Available online 15 April 2020, Version of Record 15 April 2020.
论文官网地址：https://doi.org/10.1016/j.amc.2020.125256
