Fault tolerant control for a class of T-S fuzzy systems using two channel event-triggered communication schemes

In this paper, the authors aimed to analyze uncertain nonlinear networked control systems (NCS) under discrete event-triggered communication scheme (DETCS), in which an integrated design methodology between robust fault detection observer and active fault-tolerant controller is proposed. Moreover, the problem of hybrid active–passive robust fault-tolerant control, which integrated passive fault-tolerant control, fault detection, and controller reconstruction, is researched. In consideration of the impact of uncertainties and network-induced delay on system performance, a new class of uncertain nonlinear NCS fault model is established based on T-S fuzzy model. By employing Lyapunov stability theory, H∞ control theory, and linear matrix inequality method, the fault detection observer and hybrid fault-tolerant controller are both appropriately designed. In addition, the sufficient condition that guaranteed the asymptotically robust stability of nonlinear NCS against any actuator failures is deduced. Finally, a numerical simulation is provided to show the effectiveness of the proposed methods.

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Event-triggered fault estimation and sliding mode fault-tolerant control for a class of nonlinear networked control systems

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2018.06.002 ◽

2018 ◽

Vol 355 (13) ◽

pp. 5475-5502 ◽

Cited By ~ 13

Author(s):

Xiaoan Chu ◽

Muguo Li

Keyword(s):

Control Systems ◽

Networked Control Systems ◽

Fault Tolerant ◽

Sliding Mode ◽

Fault Tolerant Control ◽

Networked Control ◽

Fault Estimation ◽

Nonlinear Networked Control Systems ◽

Event Triggered

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Fault estimation and fault-tolerant control for networked systems based on an adaptive memory-based event-triggered mechanism

IEEE Transactions on Network Science and Engineering ◽

10.1109/tnse.2021.3107935 ◽

2021 ◽

pp. 1-1

Author(s):

Zhou Gu ◽

Peng Shi ◽

Dong Yue ◽

Shen Yan ◽

Xiangpeng Xie

Keyword(s):

Fault Tolerant ◽

Fault Tolerant Control ◽

Networked Systems ◽

Fault Estimation ◽

Adaptive Memory ◽

Event Triggered

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Event-triggered fault tolerant control for a class of state saturated systems subject to deception attacks

Transactions of the Institute of Measurement and Control ◽

10.1177/0142331219900757 ◽

2020 ◽

Vol 42 (11) ◽

pp. 1935-1945

Author(s):

Yi Gao ◽

Yunji Li ◽

Li Peng

Keyword(s):

Fault Tolerant ◽

Fault Tolerant Control ◽

Feedback Controller ◽

Sensor Data ◽

Linear Matrix ◽

Dynamic Feedback ◽

Actual Measurement ◽

Analysis And Design ◽

Dynamic Output Feedback Controller ◽

Event Triggered

This study is concerned with event-triggered fault tolerant control for a class of state-saturated systems subject to stochastic faults, unknown but bounded disturbances and deception attacks. After formulating stochastic faults, state saturations, and deception attacks, a hybrid system model is developed to facilitate analysis and design. An event-triggered transmission mechanism is proposed to decide whether the measurement values should be sent to the controller via wireless network. Since the sensor data is attacked by the adversary during the transmission, the actual measurement value received by the controller needs to be recalculated. Expressions of the dynamic output feedback controller are presented, and criteria are used to design a dynamic feedback controller to ensure that the system is uniformly ultimately bounded. To deal with the current problem, an algorithm is also developed and tested using the linear matrix inequality (LMI) toolbox. Finally, two numerical examples are given to illustrate the validity and effectiveness of the proposed strategies.

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Sliding mode fault-tolerant control for Takagi-Sugeno fuzzy systems with local nonlinear models: Application to inverted pendulum and cart system

Transactions of the Institute of Measurement and Control ◽

10.1177/0142331220949366 ◽

2020 ◽

pp. 014233122094936

Author(s):

Riadh Hmidi ◽

Ali Ben Brahim ◽

Slim Dhahri ◽

Fayçal Ben Hmida ◽

Anis Sellami

Keyword(s):

Fuzzy Systems ◽

Inverted Pendulum ◽

Fault Tolerant ◽

Sliding Mode ◽

Nonlinear Models ◽

Fault Tolerant Control ◽

Simultaneous Occurrence ◽

Sensor Faults ◽

Adaptive Sliding Mode ◽

Takagi Sugeno

This paper proposes fault-tolerant control design for uncertain nonlinear systems described under Takagi-Sugeno fuzzy systems with local nonlinear models that satisfy the Lipschitz condition. First, by transforming sensor faults as ‘pseudo-actuator’ faults, an adaptive sliding mode observer is designed in order to simultaneously estimate system states, actuator and sensor faults despite the presence of norm-bounded uncertainties. Second, an adaptive sliding mode controller is suggested to provide a solution to stabilize the closed-loop system, even in the event of simultaneous occurrence of faults in actuators and sensors. Next, the main objective of the fault-tolerant control strategy is to compensate for the effects of fault based on the feedback information. Therefore, using the LMI optimization method, sufficient conditions are developed with [Formula: see text] to calculate the gains of the observer and the controller. Then, particular attention is paid to the simultaneous maximization, by convex multi-objective optimization, of the Lipschitz nonlinear constant in Takagi-Sugeno fuzzy modelling and uncertainties attenuation level. The results of the simulation illustrate the effectiveness of our fault-tolerant control approach using a nonlinear inverted pendulum with a cart system.

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