Reinforcement-Learning-Based Online Learning Control for Discrete-Time Unknown Nonaffine Nonlinear Systems

DOI10.1142/9789814616881_0002zbMath1329.93094OpenAlexW2490782112MaRDI QIDQ3467686

Xiong Yang, Derong Liu, Ding Wang, Qinglai Wei

Publication date: 4 February 2016

Published in: Frontiers of Intelligent Control and Information Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/9789814616881_0002

zbMATH Keywords

Lyapunov's direct methodheuristic dynamic programmingneural networks (NNs)discrete-time unknown nonaffine nonlinear systemsonline learning control

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Nonlinear systems in control theory (93C10) Multivariable systems, multidimensional control systems (93C35) Discrete-time control/observation systems (93C55) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Dynamic programming (90C39)

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