An approximate dynamic programming method for multi-input multi-output nonlinear system

DOI10.1002/OCA.1031zbMath1275.49053OpenAlexW1905903652MaRDI QIDQ2857151

Jie Ma, He Huang, Zhijian Huang

Publication date: 31 October 2013

Published in: Optimal Control Applications and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/oca.1031

zbMATH Keywords

neural networkapproximate dynamic programmingadaptive critic designsmulti-input multi-output systemengine idling modelfluctuation control

Mathematics Subject Classification ID

Dynamic programming in optimal control and differential games (49L20) Dynamic programming (90C39)

Related Items (2)

Single network adaptive critic aided dynamic inversion for optimal regulation and command tracking with online adaptation for enhanced robustness ⋮ Three bounded proofs for nonlinear multi‐input multi‐output approximate dynamic programming based on the <scp>L</scp>yapunov stability theory

Cites Work

• Unnamed Item
• A single network adaptive critic (SNAC) architecture for optimal control synthesis for a class of nonlinear systems
• Practical issues in temporal difference learning
• Approximate Dynamic Programming

This page was built for publication: An approximate dynamic programming method for multi-input multi-output nonlinear system