Quantized Event-triggered feedback control under fuzzy system with time-varying delay and Actuator fault

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 quantiza...

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Bibliographic Details
Published in:Nonlinear analysis. Hybrid systems 2020-02, Vol.35, p.100823, Article 100823
Main Authors: Aslam, Muhammad Shamrooz, Qaisar, Irfan, Saleem, Muhammad Ahsan
Format: Article
Language:English
Subjects:
Event triggered mechanism
Networked control system
Quantization
T–S fuzzy system
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Summary: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.
ISSN:1751-570X
DOI:10.1016/j.nahs.2019.100823