Reset Filters
Branch: 浦东周浦镇

Cover is for reference only

Machine learning control - taming nonlinear dynamics and turbulence /

This is the first book on a generally applicable control strategy for turbulence and other complex nonlinear systems. The approach of the book employs powerful methods of machine learning for optimal nonlinear control laws. This machine learning control (MLC) is motivated and detailed in Chapters 1...

Full description

Saved in:
Bibliographic Details
Main Authors: Duriez, Thomas
Corporate Authors: SpringerLink Online service
Group Author: Brunton, Steven L; Noack, Bernd R
Published: Springer International Publishing : Imprint: Springer,
Publisher Address: Cham :
Publication Dates: 2017.
Literature type: eBook
Language: English
Series: Fluid Mechanics and Its Applications, 116
Subjects:
Engineering
Microprogramming
Artificial intelligence
Fluids
Fluid mechanics
Control engineering
Engineering Fluid Dynamics
Fluid- and Aerodynamics
Control
Control Structures and Microprogramming
Artificial Intelligence incl. Robotics
Applications of Nonlinear Dynamics and Chaos Theory
Online Access: http://dx.doi.org/10.1007/978-3-319-40624-4
Summary: This is the first book on a generally applicable control strategy for turbulence and other complex nonlinear systems. The approach of the book employs powerful methods of machine learning for optimal nonlinear control laws. This machine learning control (MLC) is motivated and detailed in Chapters 1 and 2. In Chapter 3, methods of linear control theory are reviewed. In Chapter 4, MLC is shown to reproduce known optimal control laws for linear dynamics (LQR, LQG). In Chapter 5, MLC detects and exploits a strongly nonlinear actuation mechanism of a low-dimensional dynamical system when linear c
Carrier Form: 1 online resource(xx,211pages): illustrations.
ISBN: 9783319406244
Index Number: TA357
CLC: TB271
Contents: Preface -- 1 Introduction -- 1.1 Feedback in engineering and living systems -- 1.2 Benefits of feedback control -- 1.3 Challenges of feedback control -- 1.4 Feedback turbulence control is a grand challenge problem -- 1.5 Nature teaches us the control design -- 1.6 Outline of the book -- 1.7 Exercises -- 2 Machine learning control (MLC) -- 2.1 Methods of machine learning -- 2.2 MLC with genetic programming -- 2.3 Examples -- 2.4 Exercises -- 2.5 Suggested reading -- 2.6 Interview with Professor Marc Schoenauer -- 3 Methods of linear control theory -- 3.1 Linear systems -- 3.2 Full-state feedb

Related Book Recommendations