Adaptive Event-triggered Control for Discrete-time Networked Control Systems with Actuator Faults and Nonlinearity

In this paper, the problem on adaptive event-triggered controller design is investigated for a class of discrete-time networked control systems (NCSs), in which parameter uncertainties, actuator faults, and nonlinearity are simultaneously considered. Firstly, in order to reduce the transmission amou...

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Bibliographic Details
Published in:International journal of control, automation, and systems 2020, Automation, and Systems, 18(11), , pp.2842-2856
Main Authors: Zhang, Luo, Chen, Mou, Li, Tao, Wang, Huijiao
Format: Article
Language:English
Subjects:
Actuators
Adaptive control
Control
Control stability
Control systems design
Controllers
Design
Discrete time systems
Engineering
Event triggered control
Feedback control
Linear matrix inequalities
Mechatronics
Nonlinearity
Parameter uncertainty
Robotics
제어계측공학
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Summary:In this paper, the problem on adaptive event-triggered controller design is investigated for a class of discrete-time networked control systems (NCSs), in which parameter uncertainties, actuator faults, and nonlinearity are simultaneously considered. Firstly, in order to reduce the transmission amount, an improved adaptive eventtriggered mechanism (AETM) is proposed and it can dynamically adapt to the controlled NCSs. Secondly, based on the designed AETM, a closed-loop system model is derived with involving network-induced delays. Thirdly, by choosing an augmented Lyapunov-Krasovskii functional (LKF) and using some effective summation inequalities, two less conservative conditions are derived to guarantee the desired stability, in which the co-designs on AETM parameter and controller gain are presented in terms of linear matrix inequalities (LMIs). Finally, two examples with simulations and comparisons are given to illustrate the effectiveness of our proposed methods.
ISSN:1598-6446
2005-4092
DOI:10.1007/s12555-019-0803-0