Dynamic Event-Triggered Reinforcement Learning Control of Stochastic Nonlinear Systems-Reference-Cited by-同舟云学术

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Dynamic Event-Triggered Reinforcement Learning Control of Stochastic Nonlinear Systems

Published:2023-09 Issue:9 Volume:31 Page:2917-2928
ISSN:1063-6706
Container-title:IEEE Transactions on Fuzzy Systems
language:
Short-container-title:IEEE Trans. Fuzzy Syst.

Author:

Zhu Hao-Yang¹,Li Yuan-Xin¹^ORCID,Tong Shaocheng¹^ORCID

Affiliation:

1. College of Science, Liaoning University of Technology, Jinzhou, China

Funder

Funds of National Science of China

Distinguished Young Scientific Research Talents Plan in Liaoning Province

Applied Basic Research Program in Liaoning Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/91/10236911/10025787.pdf?arnumber=10025787

Reference45 articles.

1. Optimized Multi-Agent Formation Control Based on an Identifier–Actor–Critic Reinforcement Learning Algorithm

2. Fuzzy Adaptive Distributed Event-Triggered Consensus Control of Uncertain Nonlinear Multiagent Systems

3. Simplified Optimized Backstepping Control for a Class of Nonlinear Strict-Feedback Systems With Unknown Dynamic Functions

4. LaSalle-Type Theorem and Its Applications to Infinite Horizon Optimal Control of Discrete-Time Nonlinear Stochastic Systems

5. Global Adaptive Dynamic Programming for Continuous-Time Nonlinear Systems

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4. Optimal fuzzy event-triggered fault-tolerant control of fractional-order nonlinear stochastic systems;Information Sciences;2024-09

5. Fuzzy-Based Optimal Control for Stochastic Nonlinear Systems With Constrained Inputs via Dynamic Event-Triggering;IEEE Transactions on Fuzzy Systems;2024-08

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