Machine Learning Control Taming Nonlinear Dynamics and Turbulence

Written By Thomas Duriez
Machine Learning Control     Taming Nonlinear Dynamics and Turbulence
  • Publsiher : Springer
  • Release : 22 April 2018
  • ISBN : 9783319821405
  • Pages : 211 pages
  • Rating : /5 from reviews
GET THIS BOOKMachine Learning Control Taming Nonlinear Dynamics and Turbulence


Download or read book entitled Machine Learning Control Taming Nonlinear Dynamics and Turbulence by author: Thomas Duriez which was release on 22 April 2018 and published by Springer with total page 211 pages . This book available in PDF, EPUB and Kindle Format. This is the first textbook 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 control methods are shown to fail. Experimental control demonstrations from a laminar shear-layer to turbulent boundary-layers are reviewed in Chapter 6, followed by general good practices for experiments in Chapter 7. The book concludes with an outlook on the vast future applications of MLC in Chapter 8. Matlab codes are provided for easy reproducibility of the presented results. The book includes interviews with leading researchers in turbulence control (S. Bagheri, B. Batten, M. Glauser, D. Williams) and machine learning (M. Schoenauer) for a broader perspective. All chapters have exercises and supplemental videos will be available through YouTube.

Machine Learning Control Taming Nonlinear Dynamics and Turbulence

Machine Learning Control     Taming Nonlinear Dynamics and Turbulence
  • Author : Thomas Duriez,Steven L. Brunton,Bernd R. Noack
  • Publisher : Springer
  • Release Date : 2018-04-22
  • Total pages : 211
  • ISBN : 9783319821405
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Summary : This is the first textbook 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 ...

Iterative Learning Control

Iterative Learning Control
  • Author : David H. Owens
  • Publisher : Springer
  • Release Date : 2015-10-31
  • Total pages : 456
  • ISBN : 9783319821405
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Summary : This book develops a coherent and quite general theoretical approach to algorithm design for iterative learning control based on the use of operator representations and quadratic optimization concepts including the related ideas of inverse model control and gradient-based design. Using detailed examples taken from linear, discrete and continuous-time systems, the ...

Iterative Learning Control for Systems with Iteration Varying Trial Lengths

Iterative Learning Control for Systems with Iteration Varying Trial Lengths
  • Author : Dong Shen,Xuefang Li
  • Publisher : Springer
  • Release Date : 2019-01-29
  • Total pages : 256
  • ISBN : 9783319821405
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Summary : This book presents a comprehensive and detailed study on iterative learning control (ILC) for systems with iteration-varying trial lengths. Instead of traditional ILC, which requires systems to repeat on a fixed time interval, this book focuses on a more practical case where the trial length might randomly vary from iteration ...

Iterative Learning Control with Passive Incomplete Information

Iterative Learning Control with Passive Incomplete Information
  • Author : Dong Shen
  • Publisher : Springer
  • Release Date : 2018-04-16
  • Total pages : 294
  • ISBN : 9783319821405
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Summary : This book presents an in-depth discussion of iterative learning control (ILC) with passive incomplete information, highlighting the incomplete input and output data resulting from practical factors such as data dropout, transmission disorder, communication delay, etc.—a cutting-edge topic in connection with the practical applications of ILC. It describes in detail ...

Iterative Learning Control for Multi agent Systems Coordination

Iterative Learning Control for Multi agent Systems Coordination
  • Author : Shiping Yang,Jian-Xin Xu,Xuefang Li,Dong Shen
  • Publisher : John Wiley & Sons
  • Release Date : 2017-03-03
  • Total pages : 272
  • ISBN : 9783319821405
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Summary : A timely guide using iterative learning control (ILC) as a solution for multi-agent systems (MAS) challenges, showcasing recent advances and industrially relevant applications Explores the synergy between the important topics of iterative learning control (ILC) and multi-agent systems (MAS) Concisely summarizes recent advances and significant applications in ILC methods for ...

Real time Iterative Learning Control

Real time Iterative Learning Control
  • Author : Jian-Xin Xu,Sanjib K. Panda,Tong Heng Lee
  • Publisher : Springer Science & Business Media
  • Release Date : 2008-12-12
  • Total pages : 194
  • ISBN : 9783319821405
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Summary : Real-time Iterative Learning Control demonstrates how the latest advances in iterative learning control (ILC) can be applied to a number of plants widely encountered in practice. The book gives a systematic introduction to real-time ILC design and source of illustrative case studies for ILC problem solving; the fundamental concepts, schematics, ...

Machine Learning Control Taming Nonlinear Dynamics and Turbulence

Machine Learning Control     Taming Nonlinear Dynamics and Turbulence
  • Author : Thomas Duriez,Steven L. Brunton,Bernd R. Noack
  • Publisher : Springer
  • Release Date : 2016-11-02
  • Total pages : 211
  • ISBN : 9783319821405
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Summary : This is the first textbook 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 ...

Self Learning Control of Finite Markov Chains

Self Learning Control of Finite Markov Chains
  • Author : A.S. Poznyak,Kaddour Najim,E. Gomez-Ramirez
  • Publisher : CRC Press
  • Release Date : 2018-10-03
  • Total pages : 314
  • ISBN : 9783319821405
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Summary : Presents a number of new and potentially useful self-learning (adaptive) control algorithms and theoretical as well as practical results for both unconstrained and constrained finite Markov chains-efficiently processing new information by adjusting the control strategies directly or indirectly....

Iterative Learning Control for Deterministic Systems

Iterative Learning Control for Deterministic Systems
  • Author : Kevin L. Moore
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • Total pages : 152
  • ISBN : 9783319821405
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Summary : Iterative Learning Control for Deterministic Systems is part of the new Advances in Industrial Control series, edited by Professor M.J. Grimble and Dr. M.A. Johnson of the Industrial Control Unit, University of Strathclyde. The material presented in this book addresses the analysis and design of learning control systems. ...

Iterative Learning Control for Electrical Stimulation and Stroke Rehabilitation

Iterative Learning Control for Electrical Stimulation and Stroke Rehabilitation
  • Author : Chris T. Freeman,Eric Rogers,Jane H. Burridge,Ann-Marie Hughes,Katie L. Meadmore
  • Publisher : Springer
  • Release Date : 2015-06-25
  • Total pages : 124
  • ISBN : 9783319821405
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Summary : Iterative learning control (ILC) has its origins in the control of processes that perform a task repetitively with a view to improving accuracy from trial to trial by using information from previous executions of the task. This brief shows how a classic application of this technique – trajectory following in robots – ...

Iterative Learning Control

Iterative Learning Control
  • Author : Hyo-Sung Ahn,Kevin L. Moore,YangQuan Chen
  • Publisher : Springer Science & Business Media
  • Release Date : 2007-06-28
  • Total pages : 230
  • ISBN : 9783319821405
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Summary : This monograph studies the design of robust, monotonically-convergent iterative learning controllers for discrete-time systems. It presents a unified analysis and design framework that enables designers to consider both robustness and monotonic convergence for typical uncertainty models, including parametric interval uncertainties, iteration-domain frequency uncertainty, and iteration-domain stochastic uncertainty. The book shows ...

Iterative Learning Control for Flexible Structures

Iterative Learning Control for Flexible Structures
  • Author : Tingting Meng,Wei He
  • Publisher : Springer Nature
  • Release Date : 2020-03-23
  • Total pages : 182
  • ISBN : 9783319821405
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Summary : This book presents iterative learning control (ILC) to address practical issues of flexible structures. It is divided into four parts: Part I provides a general introduction to ILC and flexible structures, while Part II proposes various types of ILC for simple flexible structures to address issues such as vibration, input ...

Learning Control of Complex Skills

Learning Control of Complex Skills
  • Author : Lara Sidonie Crawford
  • Publisher : Unknown
  • Release Date : 1998
  • Total pages : 296
  • ISBN : 9783319821405
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Summary : Read online Learning Control of Complex Skills written by Lara Sidonie Crawford, published by which was released on 1998. Download full Learning Control of Complex Skills Books now! Available in PDF, ePub and Kindle....

Real time Iterative Learning Control

Real time Iterative Learning Control
  • Author : Jian-Xin Xu,Sanjib K. Panda,Tong Heng Lee
  • Publisher : Springer
  • Release Date : 2008-12-23
  • Total pages : 194
  • ISBN : 9783319821405
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Summary : Real-time Iterative Learning Control demonstrates how the latest advances in iterative learning control (ILC) can be applied to a number of plants widely encountered in practice. The book gives a systematic introduction to real-time ILC design and source of illustrative case studies for ILC problem solving; the fundamental concepts, schematics, ...

Intelligent Control Principles Techniques and Applications

Intelligent Control  Principles  Techniques and Applications
  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 2021-07-24
  • Total pages : 212
  • ISBN : 9783319821405
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Summary : Read online Intelligent Control Principles Techniques and Applications written by , published by which was released on . Download full Intelligent Control Principles Techniques and Applications Books now! Available in PDF, ePub and Kindle....