Event-Triggered Adaptive Neural Fault-Tolerant Control of Underactuated MSVs With Input Saturation

Author(s):  
Guibing Zhu ◽  
Yong Ma ◽  
Zhixiong Li ◽  
Reza Malekian ◽  
M. Sotelo
2017 ◽  
Vol 11 (1) ◽  
pp. 68-86 ◽  
Author(s):  
Jun Wang ◽  
Xiaowan Yao ◽  
Wei Li

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.


2020 ◽  
Vol 42 (11) ◽  
pp. 1935-1945
Author(s):  
Yi Gao ◽  
Yunji Li ◽  
Li Peng

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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