Robust adaptive dynamic programming for linear and nonlinear systems: An overview

The field of adaptive dynamic programming with diverse applications in control engineering has undergone rapid progress over the past few years. A new theory called “Robust Adaptive Dynamic Programming” (for short, RADP) is developed for the design of robust optimal controllers for linear and nonlin...

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Published in:European journal of control 2013-09, Vol.19 (5), p.417-425
Main Authors: Jiang, Zhong-Ping, Jiang, Yu
Format: Article
Language:English
Subjects:
Design
Dynamic programming
Dynamic uncertainty
Game theory
Mathematical models
Neural networks
Nonlinear systems
Optimization
Process controls
Robust adaptive dynamic programming (RADP)
Robust optimal control
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description The field of adaptive dynamic programming with diverse applications in control engineering has undergone rapid progress over the past few years. A new theory called “Robust Adaptive Dynamic Programming” (for short, RADP) is developed for the design of robust optimal controllers for linear and nonlinear systems subject to both parametric and dynamic uncertainties. A central objective of this paper is to give a brief overview of our recent contributions to the development of the theory of RADP and to outline its potential applications in engineering and biology.
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subjects Design
Dynamic programming
Dynamic uncertainty
Game theory
Mathematical models
Neural networks
Nonlinear systems
Optimization
Process controls
Robust adaptive dynamic programming (RADP)
Robust optimal control
title Robust adaptive dynamic programming for linear and nonlinear systems: An overview
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