A new result on semi-synchronous event-triggered backstepping robust control for a class of non-Lipschitzian networked systems

作者:

Highlights:

• Compared with design methods in related results, the novel piecewise constant virtual control signals are designed and the requirement of designing a differentiator is avoided. Thus, the backstepping method in this paper is more suitable for networked control systems.

• A semi-synchronous event-triggered scheme is designed. Compared with some conventional event-triggered schemes, the triggering instants among the channels are largely staggered to reduce network congestion; A self-triggered scheme is further proposed to avoid the continuous monitoring of the event-triggered conditions.

• Compared with some switching methods, the constraints of ADT are canceled to allow more frequent switchings.

• A class of nonlinear systems with Hölder condition and linear growth condition is introduced, such that the robustness of the proposed backstepping method is extended.

摘要

•Compared with design methods in related results, the novel piecewise constant virtual control signals are designed and the requirement of designing a differentiator is avoided. Thus, the backstepping method in this paper is more suitable for networked control systems.•A semi-synchronous event-triggered scheme is designed. Compared with some conventional event-triggered schemes, the triggering instants among the channels are largely staggered to reduce network congestion; A self-triggered scheme is further proposed to avoid the continuous monitoring of the event-triggered conditions.•Compared with some switching methods, the constraints of ADT are canceled to allow more frequent switchings.•A class of nonlinear systems with Hölder condition and linear growth condition is introduced, such that the robustness of the proposed backstepping method is extended.

论文关键词:Backstepping,Non-Lipschitz condition,Event-triggered control,Finite-time convergence,Switching method,Networked systems

论文评审过程:Received 21 July 2021, Revised 29 December 2021, Accepted 14 February 2022, Available online 26 February 2022, Version of Record 26 February 2022.

论文官网地址:https://doi.org/10.1016/j.amc.2022.127027