Quantized Event-triggered feedback control under fuzzy system with time-varying delay and Actuator fault. (February 2020)

• Record Type: Journal Article
• Authors: Aslam, Muhammad Shamrooz; Qaisar, Irfan; Saleem, Muhammad Ahsan
• Is Part Of: Nonlinear analysis. Volume 35(2020)
• Publication Date: 2020-02
• Subjects: Event triggered mechanism -- T–S fuzzy system -- Networked control system -- Quantization; Nonlinear functional analysis -- Periodicals; Analyse fonctionnelle non linéaire -- Périodiques; Nonlinear functional analysis; Periodicals; 515.7248
• DOI: 10.1016/j.nahs.2019.100823
• Languages: English
• ISSNs: 1751-570X

Abstract

Abstract: This paper is concerned to address the problem of quantized event-based H ∞ control for networked control systems (NCS's) under time-varying delay with actuator fault. The feedback NCS's has been demonstrated as a nonlinear system with time-varying. Event-triggered communication scheme and a quantization scheme are also co-designed to overcome the bandwidth utilization. According to this scheme, data will only transmit when it reaches the threshold value. Furthermore a T–S fuzzy delay model is employed to approximate the nonlinear dynamics of the NCS's. In addition a novel Lyapunov function is introduced to establish H ∞ performance index in the term of linear matrix inequalities (LMIs). Finally, a truck-trailer example is provided to demonstrate the advantage and effectiveness of the anticipated results.