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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Neural Networks Modeling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time

Neural Networks Modeling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time

Rios, Jorge D.
Arana-Daniel, Nancy
Y. Alanis, Alma

Paperback

Technology & EngineeringBiology

ISBN10: 0128170786
ISBN13: 9780128170786
Publisher: Academic Press
Published: Jan 20 2020
Pages: 158
Weight: 0.62
Height: 0.34 Width: 7.50 Depth: 9.25
Language: English

Neural Networks Modelling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time focuses on modeling and control of discrete-time unknown nonlinear delayed systems under uncertainties based on Artificial Neural Networks. First, a Recurrent High Order Neural Network (RHONN) is used to identify discrete-time unknown nonlinear delayed systems under uncertainties, then a RHONN is used to design neural observers for the same class of systems. Therefore, both neural models are used to synthesize controllers for trajectory tracking based on two methodologies: sliding mode control and Inverse Optimal Neural Control.

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