Event-triggered adaptive fault-tolerant control for nonlinear systems fusing static and dynamic information. Issue 1 (January 2019)

• Record Type: Journal Article
• Authors: Wang, Chenliang; Guo, Lei; Qiao, Jianzhong
• Is Part Of: Journal of the Franklin Institute. Volume 356:Issue 1(2019)
• Page Start: 248
• Page End: 267
• Publication Date: 2019-01
• Subjects: Science -- Periodicals; Technology -- Periodicals; Patents -- United States -- Periodicals; 505
• DOI: 10.1016/j.jfranklin.2018.09.036
• Languages: English
• ISSNs: 0016-0032

Abstract

Abstract: In this paper, a novel event-triggered adaptive fault-tolerant control scheme is proposed for a class of nonlinear systems with unknown actuator faults. Multiplicative faults and additive faults are taken into account simultaneously, both of which may vary with time. Different from existing results, our controller fuses static reliability information and dynamic online information, which is helpful to enhance the fault-tolerant capability. With the aid of an event-triggering mechanism, an actuator switching strategy and a bound estimation approach, the communication burden is significantly reduced and the impacts of the actuator faults as well as the network-induced error are effectively compensated for. Moreover, by employing the prescribed performance control technique, the system tracking error can converge to a predefined arbitrarily small residual set with prescribed convergence rate and maximum overshoot, which implies that the proposed scheme is able to ensure rapid and accurate tracking. Simulation results are presented to illustrate the effectiveness of the proposed scheme.