Discrete-Time Recurrent Neural Control - Info and Reading Options
Analysis and Applications
By Edgar N. Sanchez
"Discrete-Time Recurrent Neural Control" was published by Taylor & Francis Group in 2018 - Boca Raton London New York, it has 271 pages and the language of the book is English.
“Discrete-Time Recurrent Neural Control” Metadata:
- Title: ➤ Discrete-Time Recurrent Neural Control
- Author: Edgar N. Sanchez
- Language: English
- Number of Pages: 271
- Publisher: Taylor & Francis Group
- Publish Date: 2018
- Publish Location: Boca Raton London New York
“Discrete-Time Recurrent Neural Control” Subjects and Themes:
- Subjects: ➤ Automatic control - Discrete-time systems - Nonlinear control theory - Neural networks (computer science) - Data processing - Neural networks (Computer science) - Computer Neural Networks - Commande automatique - Informatique - Systèmes échantillonnés - Réseaux neuronaux (Informatique) - Commande non linéaire - TECHNOLOGY & ENGINEERING - Engineering (General) - TECHNOLOGY - Electricity - Electronics - General
Edition Identifiers:
- The Open Library ID: OL33562455M - OL25189115W
- Online Computer Library Center (OCLC) ID: 1037058233
- Library of Congress Control Number (LCCN): 2020692131
- ISBN-13: 9781315147185 - 9781138550209
- All ISBNs: 9781315147185 - 9781138550209
AI-generated Review of “Discrete-Time Recurrent Neural Control”:
"Discrete-Time Recurrent Neural Control" Description:
Open Data:
The book presents recent advances in the theory of neural control for discrete-time nonlinear systems with multiple inputs and multiple outputs. The results that appear in each chapter include rigorous mathematical analyses, based on the Lyapunov approach, to establish its properties; in addition, for each chapter, simulation results are included to verify the successful performance of the corresponding proposed schemes. It provides solutions for the output trajectory tracking problem of unknown nonlinear systems based on sliding modes and inverse optimal control scheme--
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