Model-Based Adaptive Event-Triggered Tracking Control of Discrete-Time Nonlinear Systems Subject to Strict-Feedback Form

The consumption of communication resources is an essential issue when control tasks are implemented in a wireless network environment. In order to lessen the network resources, a novel model-based (MB) adaptive event-triggered (ET) tracking control scheme is put forward in this article for strict-fe...

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Vydáno v:IEEE transactions on systems, man, and cybernetics. Systems Ročník 52; číslo 7; s. 1 - 12
Hlavní autoři: Wang, Min, Ou, Fenghua, Shi, Haotian, Yang, Chenguang, Liu, Xiaoping
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.07.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Adaptation models
Adaptive control
Adaptive sampling
Adaptive systems
Adaptive tracking control
Artificial neural networks
Control systems
Control tasks
Controllers
Delay effects
Discrete time systems
event-triggered (ET) control
Feedback
model-based (MB) control
neural network (NN)
Neural networks
Nonlinear control
Nonlinear systems
Stability analysis
strict-feedback structure
Tracking control
Tracking errors
Wireless networks
ISSN:2168-2216, 2168-2232
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Shrnutí:The consumption of communication resources is an essential issue when control tasks are implemented in a wireless network environment. In order to lessen the network resources, a novel model-based (MB) adaptive event-triggered (ET) tracking control scheme is put forward in this article for strict-feedback discrete-time nonlinear systems. In this article, an event-based adaptive model is constructed by the combination of an n-step-ahead predictor and event-sampled neural networks. Then, the adaptive neural model is used for designing the MB ET controller. Besides, a modified ET condition is constructed without any delay. By combining a decoupled backstepping framework, the reverse Lyapunov stability technology is developed to verify the ultimate boundedness of all closed-loop signals and the convergence of the tracking error. Compared to the zero-order hold method, which keeps transmitted state signals unchanged in the interevent period, the proposed MB ET control scheme can keep the real-time update of state signals transmitted to the controller. It means that the triggering error will be smaller by the MB trigger mechanism, thereby improving the event-based tracking performance and further saving communication resources. Comparisons of simulation results are given to verify the effectiveness of the proposed control scheme.
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ISSN:2168-2216
2168-2232
DOI:10.1109/TSMC.2021.3098025