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Approximate model predictive control laws for constrained nonlinear discrete-time systems: analysis and offline design

✍ Scribed by Pin, G.; Filippo, M.; Pellegrino, F.A.; Fenu, G.; Parisini, T.


Book ID
120353468
Publisher
Taylor and Francis Group
Year
2013
Tongue
English
Weight
472 KB
Volume
86
Category
Article
ISSN
0020-7179

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This paper presents the design of a one step ahead model predictive controller based on a neural network for a single input single output nonlinear system. The design procedure is mainly concerned with the identification of the nonlinear system using a neural network. In the absence of a consistent