Adaptive critic design with graph Laplacian for online learning control of nonlinear systems

DOI10.1002/acs.2344zbMath1331.93062OpenAlexW1733793563MaRDI QIDQ2795795

Lei Zuo, Chuanqiang Lian, Xin Xu, Zhen-Hua Huang

Publication date: 22 March 2016

Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/acs.2344

zbMATH Keywords

reinforcement learninglearning controlmanifold learninggraph Laplacianadaptive critic designs

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Dynamic programming (90C39)

Related Items (1)

Some recent advances in learning and adaptation for uncertain feedback control systems

Uses Software

• Approxrl

Cites Work

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• Semi-supervised learning on Riemannian manifolds
• Approximate dynamic programming with a fuzzy parameterization
• Natural actor-critic algorithms
• Kernel-based reinforcement learning
• An analysis of temporal-difference learning with function approximation
• Adaptive-critic-based neural networks for aircraft optimal control

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