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Discrete-Time Inverse Optimal Control for Nonlinear Systems

By: Material type: TextTextSeries: System of systems engineering seriesPublication details: Boca Raton : CRC Press, c2013.Description: 268 p. : 10 Color & 70 B/W illISBN:
  • 9781315215914
Subject(s): Genre/Form: Additional physical formats: No titleDDC classification:
  • 003.83 S211
Online resources: Available additional physical forms:
  • Also available in print edition.
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.
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.
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Item type Current library Call number Status Barcode
E-Books E-Books Indian Institute of Technology Tirupati 003.83 S211 (Browse shelf(Opens below)) Available EB00366

Includes bibliographical references (p. 203-219) and index.

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.

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.

Also available in print edition.

Mode of access: World Wide Web.

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