Event-driven \(H_\infty\) control with critic learning for nonlinear systems
type: Item
instance of: scholarly article
title: Event-driven \(H_\infty\) control with critic learning for nonlinear systems
zbMATH Open document ID: 1478.93428
author: Xiong Yang
author: Zhong-Ke Gao
author: Jinhui Zhang
published in: Neural Networks
publication date: 2021-12-07T00:00:00Z
Mathematics Subject Classification ID: 93C65
Mathematics Subject Classification ID: 93B36
Mathematics Subject Classification ID: 93B70
Mathematics Subject Classification ID: 93C10
Mathematics Subject Classification ID: 91A05
Mathematics Subject Classification ID: 91A10
zbMATH DE Number: 7439682
zbMATH Keywords: adaptive critic designs
zbMATH Keywords: critic learning
zbMATH Keywords: event-driven \(H_\infty\) control
zbMATH Keywords: neural network control
zbMATH Keywords: reinforcement learning
MaRDI profile type: Publication
full work available at URL: j.neunet.2020.08.004
OpenAlex ID: W3050803326
Wikidata QID: Q99622461
cites work: Nonlinear \(H_2/H_\infty\) constrained feedback control. A practical design approach using neural networks
cites work: \(H^ \infty\)-optimal control and related minimax design problems. A dynamic game approach.
cites work: Q4853265
cites work: Nonlinear systems.
cites work: Q2995249
cites work: Adaptive dynamic programming with applications in optimal control
cites work: Q5526189
cites work: Optimization of sampling intervals for tracking control of nonlinear systems: a game theoretic approach
cites work: Dissipative analysis for network-based singular systems with non-fragile controller and event-triggered sampling scheme
cites work: Event-Triggered Real-Time Scheduling of Stabilizing Control Tasks
cites work: Robust event‐triggered output feedback learning algorithm for voltage source inverters with unknown load and parameter variations
cites work: L/sub 2/-gain analysis of nonlinear systems and nonlinear state-feedback H/sub infinity / control
cites work: Optimal Adaptive Control and Differential Games by Reinforcement Learning Principles
cites work: Neural robust stabilization via event-triggering mechanism and adaptive learning technique
cites work: Adaptive critic control with robust stabilization for uncertain nonlinear systems
cites work: Self-learning robust optimal control for continuous-time nonlinear systems with mismatched disturbances
cites work: Online approximate solution of HJI equation for unknown constrained-input nonlinear continuous-time systems
DBLP publication ID: journals/nn/YangGZ20
DOI: 10.1016/J.NEUNET.2020.08.004
description: scientific article; zbMATH DE number 7439682