Learning Control

Written By Dan Zhang
Learning Control
  • Publsiher : Elsevier
  • Release : 05 December 2020
  • ISBN : 0128223154
  • Pages : 280 pages
  • Rating : /5 from reviews
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Download or read book entitled Learning Control by author: Dan Zhang which was release on 05 December 2020 and published by Elsevier with total page 280 pages . This book available in PDF, EPUB and Kindle Format. Learning Control: Applications in Robotics and Complex Dynamical Systems provides a foundational understanding of control theory while also introducing exciting cutting-edge technologies in the field of learning-based control. State-of-the-art techniques involving machine learning and artificial intelligence (AI) are covered, as are foundational control theories and more established techniques such as adaptive learning control, reinforcement learning control, impedance control, and deep reinforcement control. Each chapter includes case studies and real-world applications in robotics, AI, aircraft and other vehicles and complex dynamical systems. Computational methods for control systems, particularly those used for developing AI and other machine learning techniques, are also discussed at length. Provides foundational control theory concepts, along with advanced techniques and the latest advances in adaptive control and robotics Introduces state-of-the-art learning-based control technologies and their applications in robotics and other complex dynamical systems Demonstrates computational techniques for control systems Covers iterative learning impedance control in both human-robot interaction and collaborative robots

Learning Control

Learning Control
  • Author : Dan Zhang,Bin Wei
  • Publisher : Elsevier
  • Release Date : 2020-12-05
  • Total pages : 280
  • ISBN : 0128223154
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Summary : Learning Control: Applications in Robotics and Complex Dynamical Systems provides a foundational understanding of control theory while also introducing exciting cutting-edge technologies in the field of learning-based control. State-of-the-art techniques involving machine learning and artificial intelligence (AI) are covered, as are foundational control theories and more established techniques such as ...

Iterative Learning Control

Iterative Learning Control
  • Author : Zeungnam Bien,Jian-Xin Xu
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • Total pages : 373
  • ISBN : 0128223154
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Summary : Iterative Learning Control (ILC) differs from most existing control methods in the sense that, it exploits every possibility to incorporate past control informa tion, such as tracking errors and control input signals, into the construction of the present control action. There are two phases in Iterative Learning Control: first the ...

Iterative Learning Control

Iterative Learning Control
  • Author : David H. Owens
  • Publisher : Springer
  • Release Date : 2015-10-31
  • Total pages : 456
  • ISBN : 0128223154
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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 : 0128223154
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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 : 0128223154
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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 ...

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 : 0128223154
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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, ...

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 : 0128223154
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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 ...

Learning Control and Hybrid Systems

Learning  Control and Hybrid Systems
  • Author : Yutaka Yamamoto,Shinji Hara
  • Publisher : Springer
  • Release Date : 1999
  • Total pages : 451
  • ISBN : 0128223154
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Summary : This volume covers a wide variety of papers on learning, control and hybrid systems. The papers are the proceedings of the Bangalore Workshop held in January 1998, that honoured the 50th birthdays of Mathukumalli Vidyasagar and Bruce Allen Francis. The 27 papers, written by international specialists in the field, cover a variety ...

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 : 0128223154
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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 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 : 0128223154
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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. ...

Motor Learning and Control for Dance

Motor Learning and Control for Dance
  • Author : Krasnow, Donna,Wilmerding, Mary Virginia
  • Publisher : Human Kinetics
  • Release Date : 2015-05-29
  • Total pages : 336
  • ISBN : 0128223154
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Summary : Motor Learning and Control for Dance is the first textbook to blend dance science, somatic practices, and pedagogy and address motor learning theory from a dance perspective. It focuses on motor development, motor control, and motor learning while showcasing principles and practices for students and teachers....

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 : 0128223154
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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 for Industrial Robots with End Effector Sensing

Iterative Learning Control for Industrial Robots with End Effector Sensing
  • Author : Kiyonori Inaba
  • Publisher : Proquest, UMI Dissertation Publishing
  • Release Date : 2011-09
  • Total pages : 174
  • ISBN : 0128223154
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Summary : This dissertation considers precise Tool Center Point (TCP) tracking for industrial robots, i.e. tracking of reference trajectories in the Cartesian-space by the center point of a tool at the end effector of a robot. The difficulty of the control are due to disturbances and uncertainties in the reducers, such ...

Iterative Learning Control

Iterative Learning Control
  • Author : Yangquan Chen,Changyun Wen
  • Publisher : Springer
  • Release Date : 1999-09-22
  • Total pages : 204
  • ISBN : 0128223154
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Summary : This book provides readers with a comprehensive coverage of iterative learning control. The book can be used as a text or reference for a course at graduate level and is also suitable for self-study and for industry-oriented courses of continuing education. Ranging from aerodynamic curve identification robotics to functional neuromuscular ...

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 : 2000-01-03
  • Total pages : 314
  • ISBN : 0128223154
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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....