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Robust adaptive dynamic programming for linear and nonlinear systems: An overview
by
Jiang, Zhong-Ping
, Jiang, Yu
in
Design
/ Dynamic programming
/ Dynamic uncertainty
/ Game theory
/ Mathematical models
/ Neural networks
/ Nonlinear systems
/ Optimization
/ Process controls
/ Robust adaptive dynamic programming (RADP)
/ Robust optimal control
2013
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Robust adaptive dynamic programming for linear and nonlinear systems: An overview
by
Jiang, Zhong-Ping
, Jiang, Yu
in
Design
/ Dynamic programming
/ Dynamic uncertainty
/ Game theory
/ Mathematical models
/ Neural networks
/ Nonlinear systems
/ Optimization
/ Process controls
/ Robust adaptive dynamic programming (RADP)
/ Robust optimal control
2013
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Do you wish to request the book?
Robust adaptive dynamic programming for linear and nonlinear systems: An overview
by
Jiang, Zhong-Ping
, Jiang, Yu
in
Design
/ Dynamic programming
/ Dynamic uncertainty
/ Game theory
/ Mathematical models
/ Neural networks
/ Nonlinear systems
/ Optimization
/ Process controls
/ Robust adaptive dynamic programming (RADP)
/ Robust optimal control
2013
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Robust adaptive dynamic programming for linear and nonlinear systems: An overview
Journal Article
Robust adaptive dynamic programming for linear and nonlinear systems: An overview
2013
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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 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.
Publisher
Elsevier Ltd,Elsevier Limited
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