Event-Triggered Tracking Control for Adaptive Anti-Disturbance Problem in Systems with Multiple Constraints and Unknown Disturbances

Event-Triggered Tracking Control for Adaptive Anti-Disturbance Problem in Systems with Multiple Constraints and Unknown Disturbances

Aimed at the objective of anti-disturbance and reducing data transmission, this article discusses a novel dynamic neural network (DNN) modeling-based anti-disturbance control for a system under the framework of an event trigger. In order to describe dynamical characteristics of irregular disturbance...

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Bibliographic Details
Main Authors: Hong Shen, Qin Wang, Yang Yi
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Entropy
Subjects:
dynamic neural networks (DNNs)
event-triggered control
anti-disturbance control
adaptive control
saturation constraint
output constraint
Online Access:https://www.mdpi.com/1099-4300/25/1/43

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