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Neural-Network-Based Optimal Control for a Class of Unknown Discrete-Time Nonlinear Systems Using Globalized Dual Heuristic Programming

โœ Scribed by Liu, D.; Wang, D.; Zhao, D.; Wei, Q.; Jin, N.


Book ID
117904785
Publisher
IEEE
Year
2012
Tongue
English
Weight
364 KB
Volume
9
Category
Article
ISSN
1545-5955

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In this paper, an adaptive controller based on neural networks is derived,for controlling a class of unknown nonlinear discrete-time systems. A two-layered neural network is used to characterize the input-output behavior of the unknown systems. The Widrow-Hoff delta rule is the learning algorithm us