My Account Log in

2 options

Discrete-time inverse optimal control for nonlinear systems / Edgar N. Sanchez, Fernando Ornelas-Tellez.

Ebook Central Academic Complete Available online

View online

O'Reilly Online Learning: Academic/Public Library Edition Available online

View online
Format:
Book
Author/Creator:
Sanchez, Edgar N., author.
Ornelas-Tellez, Fernando, author.
Series:
System of systems engineering series.
System of systems engineering series
Language:
English
Subjects (All):
Nonlinear control theory.
Neural networks (Computer science).
Discrete-time systems.
Kalman filtering.
Physical Description:
1 online resource (258 p.)
Edition:
1st edition
Place of Publication:
Boca Raton, Florida : CRC Press, Taylor & Francis Group, [2013]
Language Note:
English
System Details:
text file
Summary:
"This book presents a novel inverse optimal control approach for stabilization and trajectory tracking of discrete-time nonlinear systems, avoiding the need to solve the associated Hamilton-Jacobi-Bellman equation, and minimizing a cost functional, resulting in efficient controllers. Additionally, the book proposes the use of recurrent neural networks as a tool to model discrete-time nonlinear systems; such models combined with the inverse optimal control constitute a powerful tool to deal with uncertainties such as unmodeled dynamics and disturbances. Different simulations illustrate the effectiveness of the synthesized controllers for stabilization and trajectory tracking of discrete-time nonlinear systems"-- Provided by publisher.
Contents:
ch. 1. Introduction
ch. 2. Mathematical preliminaries
ch. 3. Inverse optimal control : a passivity approach
ch. 4. Inverse optimal control : a CLF approach, part I
ch. 5. Inverse optimal control : a CLF approach, part II
ch. 6. Neural inverse optimal control
ch. 7. Glycemic control of type 1 diabetes mellitus patients
ch. 8. Conclusions.
Notes:
Description based upon print version of record.
Includes bibliographical references (pages 203-219) and index.
Description based on print version record.
ISBN:
9781315215914
1315215918
9781138073814
1138073814
9781466580886
1466580887
OCLC:
854973528

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Library Catalog Using Articles+ Library Account