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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Bibliographic Details
Published inEuropean journal of control Vol. 19; no. 5; pp. 417 - 425
Main Authors Jiang, Zhong-Ping, Jiang, Yu
Format Journal Article
LanguageEnglish
Published Philadelphia Elsevier Ltd 01.09.2013
Elsevier Limited
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
Dynamic uncertainty
Nonlinear systems
Robust adaptive dynamic programming (RADP)
Robust optimal control
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Summary: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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ISSN:0947-3580
1435-5671
DOI:10.1016/j.ejcon.2013.05.017