Integral reinforcement learning-based event-triggered H∞ control algorithm for affine nonlinear systems with asymmetric input saturation and external disturbances

Integral reinforcement learning-based event-triggered H∞ control algorithm for affine nonlinear systems with asymmetric input saturation and external disturbances

This paper addresses an integral reinforcement learning (IRL)-based novel event-triggered (ET) H∞ control algorithm for affine continuous-time nonlinear systems with completely unknown drift dynamics, asymmetric input saturation, and external disturbances. The algorithm uses a zero-sum game theory t...

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Bibliographic Details
Main Authors: Luy Nguyen Tan, Dien Nguyen Duc
Format: Article
Language:English
Published: Elsevier 2024-09-01
Series:Franklin Open
Subjects:
ℋ∞optimal control
Asymmetric input saturation
External disturbance
Integral reinforcement learning
Concurrent learning
Event-triggered control
Online Access:http://www.sciencedirect.com/science/article/pii/S2773186324000628
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