2 options
Discrete-time inverse optimal control for nonlinear systems / Edgar N. Sanchez, Fernando Ornelas-Tellez.
- 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 If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.