Event-Triggered-Based Adaptive Sliding Mode Control for T-S Fuzzy Systems with Actuator Failures and Signal Quantization

2020 ◽  
pp. 1-1 ◽  
Author(s):  
Min Li ◽  
Peng Shi ◽  
Ming Liu ◽  
Yingchun Zhang ◽  
Shuoyu Wang
Keyword(s):  
Sliding Mode Control ◽  
Fuzzy Systems ◽  
Sliding Mode ◽  
Adaptive Sliding Mode Control ◽  
Signal Quantization ◽  
Adaptive Sliding Mode ◽  
Actuator Failures ◽  
Mode Control ◽  
Event Triggered

Event-triggered-based adaptive sliding mode control for networked linear control systems

2022 ◽  
pp. 014233122110689
Author(s):  
Guiling Li ◽  
Chen Peng
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Linear Control Systems ◽  
Adaptive Sliding Mode Control ◽  
Reduced Order ◽  
Adaptive Sliding Mode ◽  
Mode Control ◽  
Mode Function ◽  
Sliding Mode Dynamics ◽  
Event Triggered

This paper investigates the robust stabilization of the adaptive sliding mode control for a class of linear systems subjected to external disturbance via event-triggered communication (ETC) scheme. First, in order to reduce the bandwidth utilization, a discrete ETC scheme is proposed and the networked sliding mode function is derived using the ETC scheme. Based on the derived sliding mode function, a reduced-order networked sliding mode dynamics with communication delay is established. Second, by constructing a Lyapunov–Krasovskii functional (LKF), asymptotic stability and stabilization criteria of the reduced-order sliding mode dynamics are given in the form of linear matrix inequalities. According to the stabilization result, a novel event-triggered-based adaptive sliding mode controller is designed while guaranteeing the reachability of the sliding surface. Finally, simulation results illustrate the effectiveness and merit of the developed method.

Adaptive type-2 fuzzy sliding mode control of steer-by-wire systems with event-triggered communication

2021 ◽  
pp. 095440702199539
Author(s):  
Bingxin Ma ◽  
Yongfu Wang
Keyword(s):  
Sliding Mode Control ◽  
Closed Loop ◽  
Sliding Mode ◽  
Adaptive Sliding Mode Control ◽  
Control Input ◽  
Time Varying ◽  
Adaptive Sliding Mode ◽  
Mode Control ◽  
Event Triggered

The steering-by-wire (SbW) system is one of the main subsystems of automatic vehicles, realizing the steering control of autonomous vehicles. This paper proposes an event-triggered adaptive sliding mode control for the SbW system subject to the uncertain nonlinearity, time-varying disturbance, and limited communication resources. Firstly, an event-triggered nested adaptive sliding mode control is proposed for SbW systems. The uncertain nonlinearity is approximated by the interval type-2 fuzzy logic system (IT2 FLS). The time-varying disturbance, modeling error, and event-triggering error can be offset by robust terms of sliding mode control. The key advantage is that the high-frequency switching of sliding mode control only appears on the time derivate of control input without increasing the input-output relative degree of closed-loop SbW systems, such that the chattering phenomenon can be eliminated. Finally, theoretical analysis shows that the practical finite-time stability of the closed-loop SbW system can be achieved, and communication resources in the controller-to-actuator channels can be saved while avoiding the Zeno-behavior. Numerical simulations and experiments are given to evaluate the effectiveness of the proposed method.

Adaptive Sliding Mode Control for Interval Type-2 Fuzzy Systems

2016 ◽  
Vol 46 (12) ◽  
pp. 1654-1663 ◽  
Author(s):  
Hongyi Li ◽  
Jiahui Wang ◽  
Hak-Keung Lam ◽  
Qi Zhou ◽  
Haiping Du
Keyword(s):  
Sliding Mode Control ◽  
Fuzzy Systems ◽  
Sliding Mode ◽  
Adaptive Sliding Mode Control ◽  
Adaptive Sliding Mode ◽  
Mode Control ◽  
Interval Type
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