Adaptive-critic based optimal neuro control synthesis for distributed parameter systems

DOI10.1016/S0005-1098(01)00093-0zbMath1012.93025OpenAlexW1984474823MaRDI QIDQ5943841

Radhakant Padhi, S. N. Balakrishnan, Timothy W. Randolph

Publication date: 16 June 2003

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0005-1098(01)00093-0

zbMATH Keywords

optimal controlneural networklinear quadratic regulatordiffusion equationnonlinearityparabolic equationpartial differential equationsdiscrete dynamic programmingRiccati-operator solution

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Dynamic programming in optimal control and differential games (49L20) Control/observation systems governed by partial differential equations (93C20) Neural networks for/in biological studies, artificial life and related topics (92B20) Nonlinear systems in control theory (93C10) Linear-quadratic optimal control problems (49N10) Synthesis problems (93B50)

Related Items (3)

Bezier Curve Parameterization Methods for Solving Optimal Control Problems of SIR Model ⋮ Neural Networks Solving Free and Fixed Final Time Optimal Control Problems ⋮ Radial basis function networks simulation of age-structure population

Cites Work

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• Neural networks for control systems - a survey
• Direct training method for a continuous-time nonlinear optimal feedback controller
• Universal approximation bounds for superpositions of a sigmoidal function
• Adaptive-critic-based neural networks for aircraft optimal control
• Approximation by superpositions of a sigmoidal function

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