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Iterative Learning Control with Passive Incomplete Information

Iterative Learning Control with Passive Incomplete Information Book
Author : Dong Shen
Publisher : Springer
Release : 2018-04-16
ISBN : 9811082677
Language : En, Es, Fr & De

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Book Description :

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 three data dropout models: the random sequence model, Bernoulli variable model, and Markov chain model—for both linear and nonlinear stochastic systems. Further, it proposes and analyzes two major compensation algorithms for the incomplete data, namely, the intermittent update algorithm and successive update algorithm. Incomplete information environments include random data dropout, random communication delay, random iteration-varying lengths, and other communication constraints. With numerous intuitive figures to make the content more accessible, the book explores several potential solutions to this topic, ensuring that readers are not only introduced to the latest advances in ILC for systems with random factors, but also gain an in-depth understanding of the intrinsic relationship between incomplete information environments and essential tracking performance. It is a valuable resource for academics and engineers, as well as graduate students who are interested in learning about control, data-driven control, networked control systems, and related fields.

Machine Learning Control Taming Nonlinear Dynamics and Turbulence

Machine Learning Control     Taming Nonlinear Dynamics and Turbulence Book
Author : Thomas Duriez,Steven L. Brunton,Bernd R. Noack
Publisher : Springer
Release : 2016-11-02
ISBN : 3319406248
Language : En, Es, Fr & De

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Book Description :

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.

Iterative Learning Control for Multi agent Systems Coordination

Iterative Learning Control for Multi agent Systems Coordination Book
Author : Shiping Yang,Jian-Xin Xu,Xuefang Li,Dong Shen
Publisher : John Wiley & Sons
Release : 2017-03-03
ISBN : 1119189063
Language : En, Es, Fr & De

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Book Description :

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 power grids, sensor networks and control processes Covers basic theory, rigorous mathematics as well as engineering practice

Learning Control

Learning Control Book
Author : Dan Zhang,Bin Wei
Publisher : Elsevier
Release : 2020-12-05
ISBN : 0128223154
Language : En, Es, Fr & De

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Book Description :

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

Iterative Learning Control for Systems with Iteration Varying Trial Lengths

Iterative Learning Control for Systems with Iteration Varying Trial Lengths Book
Author : Dong Shen,Xuefang Li
Publisher : Springer
Release : 2019-01-29
ISBN : 9811361363
Language : En, Es, Fr & De

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Book Description :

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 to iteration. The iteration-varying trial lengths may be different from the desired trial length, which can cause redundancy or dropouts of control information in ILC, making ILC design a challenging problem. The book focuses on the synthesis and analysis of ILC for both linear and nonlinear systems with iteration-varying trial lengths, and proposes various novel techniques to deal with the precise tracking problem under non-repeatable trial lengths, such as moving window, switching system, and searching-based moving average operator. It not only discusses recent advances in ILC for systems with iteration-varying trial lengths, but also includes numerous intuitive figures to allow readers to develop an in-depth understanding of the intrinsic relationship between the incomplete information environment and the essential tracking performance. This book is intended for academic scholars and engineers who are interested in learning about control, data-driven control, networked control systems, and related fields. It is also a useful resource for graduate students in the above field.

Learning Control

Learning Control Book
Author : William Charles Messner
Publisher : Unknown
Release : 1992
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Learning Control book written by William Charles Messner, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Iterative Learning Control

Iterative Learning Control Book
Author : Zeungnam Bien,Jian-Xin Xu
Publisher : Springer
Release : 1998-07-31
ISBN : 9780792382133
Language : En, Es, Fr & De

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Book Description :

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 long term memory components are used to store past control infor mation, then the stored control information is fused in a certain manner so as to ensure that the system meets control specifications such as convergence, robustness, etc. It is worth pointing out that, those control specifications may not be easily satisfied by other control methods as they require more prior knowledge of the process in the stage of the controller design. ILC requires much less information of the system variations to yield the desired dynamic be haviors. Due to its simplicity and effectiveness, ILC has received considerable attention and applications in many areas for the past one and half decades. Most contributions have been focused on developing new ILC algorithms with property analysis. Since 1992, the research in ILC has progressed by leaps and bounds. On one hand, substantial work has been conducted and reported in the core area of developing and analyzing new ILC algorithms. On the other hand, researchers have realized that integration of ILC with other control techniques may give rise to better controllers that exhibit desired performance which is impossible by any individual approach.

Intelligent Control Principles Techniques and Applications

Intelligent Control  Principles  Techniques and Applications Book
Author : Anonim
Publisher : Unknown
Release : 2021-12-04
ISBN : 9814499323
Language : En, Es, Fr & De

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Book Description :

Download Intelligent Control Principles Techniques and Applications book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Automation and Control

Automation and Control Book
Author : Constantin Volosencu,Serdar Küçük,José Guerrero,Oscar Valero
Publisher : BoD – Books on Demand
Release : 2021-04-21
ISBN : 1839627131
Language : En, Es, Fr & De

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Book Description :

The book presents recent theoretical and practical information about the field of automation and control. It includes fifteen chapters that promote automation and control in practical applications in the following thematic areas: control theory, autonomous vehicles, mechatronics, digital image processing, electrical grids, artificial intelligence, and electric motor drives. The book also presents and discusses applications that improve the properties and performances of process control with examples and case studies obtained from real-world research in the field. Automation and Control is designed for specialists, engineers, professors, and students.

Bio Inspired Collaborative Intelligent Control and Optimization

Bio Inspired Collaborative Intelligent Control and Optimization Book
Author : Yongsheng Ding,Lei Chen,Kuangrong Hao
Publisher : Springer
Release : 2017-11-06
ISBN : 9811066892
Language : En, Es, Fr & De

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Book Description :

This book presents state-of-the-art research advances in the field of biologically inspired cooperative control theories and their applications. It describes various biologically inspired cooperative control and optimization approaches and highlights real-world examples in complex industrial processes. Multidisciplinary in nature and closely integrating theory and practice, the book will be of interest to all university researchers, control engineers and graduate students in intelligent systems and control who wish to learn the core principles, methods, algorithms, and applications.

Human in the Loop Robot Control and Learning

Human in the Loop Robot Control and Learning Book
Author : Luka Peternel,Jan Babič,Erhan Oztop,Tetsunari Inamura,Dingguo Zhang
Publisher : Frontiers Media SA
Release : 2020-01-22
ISBN : 2889633128
Language : En, Es, Fr & De

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Book Description :

In the past years there has been considerable effort to move robots from industrial environments to our daily lives where they can collaborate and interact with humans to improve our life quality. One of the key challenges in this direction is to make a suitable robot control system that can adapt to humans and interactively learn from humans to facilitate the efficient and safe co-existence of the two. The applications of such robotic systems include: service robotics and physical human-robot collaboration, assistive and rehabilitation robotics, semi-autonomous cars, etc. To achieve the goal of integrating robotic systems into these applications, several important research directions must be explored. One such direction is the study of skill transfer, where a human operator’s skilled executions are used to obtain an autonomous controller. Another important direction is shared control, where a robotic controller and humans control the same body, tool, mechanism, car, etc. Shared control, in turn invokes very rich research questions such as co-adaptation between the human and the robot, where the two agents can benefit from each other’s skills or must adapt to each other’s behavior to achieve effective cooperative task executions. The aim of this Research Topic is to help bridge the gap between the state-of-the-art and above-mentioned goals through novel multidisciplinary approaches in human-in-the-loop robot control and learning.

European Control Conference 1993

European Control Conference 1993 Book
Author : Anonim
Publisher : European Control Association
Release : 1993-06-28
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Proceedings of the European Control Conference 1993, Groningen, Netherlands, June 28 – July 1, 1993

Advances in Control Systems

Advances in Control Systems Book
Author : C. T. Leondes
Publisher : Elsevier
Release : 2014-12-01
ISBN : 1483194639
Language : En, Es, Fr & De

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Book Description :

Advances in Control Systems: Theory and Applications, Volume 6 provides information pertinent to the significant progress in the field of control and systems theory and applications. This book presents the higher level of automata, which represent the embodiment of the application of artificial intelligence techniques to control system design and may be described as self-organizing systems. Organized into four chapters, this volume begins with an overview of the existing technology in learning control system. This text then demonstrates how to apply artificial intelligence techniques to the designs of off-line and on-line learning control systems. Other chapters consider the decomposition methods and the associated multilevel optimization techniques applicable to control system optimization problems. This book discusses as well the complex optimal system control problems applied to the trajectory optimization problem. The final chapter deals with systems described by partial differential equations. This book is a valuable resource for control system engineers.

Theory of Self Adaptive Control Systems

Theory of Self Adaptive Control Systems Book
Author : P. H. Hammond
Publisher : Springer
Release : 2013-11-11
ISBN : 1489962891
Language : En, Es, Fr & De

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Book Description :

Download Theory of Self Adaptive Control Systems book written by P. H. Hammond, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Intelligent Control Design and MATLAB Simulation

Intelligent Control Design and MATLAB Simulation Book
Author : Jinkun Liu
Publisher : Springer
Release : 2017-09-20
ISBN : 9811052638
Language : En, Es, Fr & De

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Book Description :

This book offers a comprehensive introduction to intelligent control system design, using MATLAB simulation to verify typical intelligent controller designs. It also uses real-world case studies that present the results of intelligent controller implementations to illustrate the successful application of the theory. Addressing the need for systematic design approaches to intelligent control system design using neural network and fuzzy-based techniques, the book introduces the concrete design method and MATLAB simulation of intelligent control strategies; offers a catalog of implementable intelligent control design methods for engineering applications; provides advanced intelligent controller design methods and their stability analysis methods; and presents a sample simulation and Matlab program for each intelligent control algorithm. The main topics addressed are expert control, fuzzy logic control, adaptive fuzzy control, neural network control, adaptive neural control and intelligent optimization algorithms, providing several engineering application examples for each method.

Model Free Adaptive Control

Model Free Adaptive Control Book
Author : Zhongsheng Hou,Shangtai Jin
Publisher : CRC Press
Release : 2013-09-24
ISBN : 1466594195
Language : En, Es, Fr & De

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Book Description :

Model Free Adaptive Control: Theory and Applications summarizes theory and applications of model-free adaptive control (MFAC). MFAC is a novel adaptive control method for the unknown discrete-time nonlinear systems with time-varying parameters and time-varying structure, and the design and analysis of MFAC merely depend on the measured input and output data of the controlled plant, which makes it more applicable for many practical plants. This book covers new concepts, including pseudo partial derivative, pseudo gradient, pseudo Jacobian matrix, and generalized Lipschitz conditions, etc.; dynamic linearization approaches for nonlinear systems, such as compact-form dynamic linearization, partial-form dynamic linearization, and full-form dynamic linearization; a series of control system design methods, including MFAC prototype, model-free adaptive predictive control, model-free adaptive iterative learning control, and the corresponding stability analysis and typical applications in practice. In addition, some other important issues related to MFAC are also discussed. They are the MFAC for complex connected systems, the modularized controller designs between MFAC and other control methods, the robustness of MFAC, and the symmetric similarity for adaptive control system design. The book is written for researchers who are interested in control theory and control engineering, senior undergraduates and graduated students in engineering and applied sciences, as well as professional engineers in process control.

Applied and Computational Control Signals and Circuits

Applied and Computational Control  Signals  and Circuits Book
Author : Biswa N. Datta
Publisher : Springer Science & Business Media
Release : 2012-12-06
ISBN : 1461205719
Language : En, Es, Fr & De

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Book Description :

The purpose of this annual series, Applied and Computational Control, Signals, and Circuits, is to keep abreast of the fast-paced developments in computational mathematics and scientific computing and their increasing use by researchers and engineers in control, signals, and circuits. The series is dedicated to fostering effective communication between mathematicians, computer scientists, computational scientists, software engineers, theorists, and practicing engineers. This interdisciplinary scope is meant to blend areas of mathematics (such as linear algebra, operator theory, and certain branches of analysis) and computational mathematics (numerical linear algebra, numerical differential equations, large scale and parallel matrix computations, numerical optimization) with control and systems theory, signal and image processing, and circuit analysis and design. The disciplines mentioned above have long enjoyed a natural synergy. There are distinguished journals in the fields of control and systems the ory, as well as signal processing and circuit theory, which publish high quality papers on mathematical and engineering aspects of these areas; however, articles on their computational and applications aspects appear only sporadically. At the same time, there has been tremendous recent growth and development of computational mathematics, scientific comput ing, and mathematical software, and the resulting sophisticated techniques are being gradually adapted by engineers, software designers, and other scientists to the needs of those applied disciplines.

Motion Control of Biomimetic Swimming Robots

Motion Control of Biomimetic Swimming Robots Book
Author : Junzhi Yu,Min Tan
Publisher : Springer
Release : 2019-06-19
ISBN : 9811387710
Language : En, Es, Fr & De

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Book Description :

This book reports on the latest advances in the study of motion control in biomimetic swimming robots with high speed and high manoeuvrability. It presents state-of-the-art studies on various swimming robots including robotic fish, dolphins and jellyfish in a unified framework, and discusses the potential benefits of applying biomimetic underwater propulsion to autonomous underwater vehicle design, such as: speed, energy economy, enhanced manoeuvrability, and reduced detectability. Given its scope, the book will be of interest to researchers, engineers and graduate students in robotics and ocean engineering who wish to learn about the core principles, methods, algorithms, and applications of biomimetic underwater robots.

Advances in Guidance Navigation and Control

Advances in Guidance  Navigation and Control Book
Author : Liang Yan
Publisher : Springer Nature
Release : 2021-12-04
ISBN : 981158155X
Language : En, Es, Fr & De

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Book Description :

Download Advances in Guidance Navigation and Control book written by Liang Yan, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Advanced Control Engineering Methods in Electrical Engineering Systems

Advanced Control Engineering Methods in Electrical Engineering Systems Book
Author : Mohammed Chadli,Sofiane Bououden,Salim Ziani,Ivan Zelinka
Publisher : Springer
Release : 2018-09-10
ISBN : 3319978160
Language : En, Es, Fr & De

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Book Description :

This book presents the proceedings of the Third International Conference on Electrical Engineering and Control (ICEECA2017). It covers new control system models and troubleshooting tips, and also addresses complex system requirements, such as increased speed, precision and remote capabilities, bridging the gap between the complex, math-heavy controls theory taught in formal courses, and the efficient implementation required in real-world industry settings. Further, it considers both the engineering aspects of signal processing and the practical issues in the broad field of information transmission and novel technologies for communication networks and modern antenna design. This book is intended for researchers, engineers, and advanced postgraduate students in control and electrical engineering, computer science, signal processing, as well as mechanical and chemical engineering.