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Learning, Control and Hybrid Systems, Yutaka Yamamoto; Shinji Hara


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Автор: Yutaka Yamamoto; Shinji Hara
Название:  Learning, Control and Hybrid Systems
ISBN: 9781852330767
Издательство: Springer
Классификация:


ISBN-10: 1852330767
Обложка/Формат: Paperback
Страницы: 455
Вес: 0.65 кг.
Дата издания: 23.10.1998
Серия: Lecture Notes in Control and Information Sciences
Язык: English
Размер: 234 x 156 x 24
Основная тема: Engineering
Подзаголовок: Festschrift in honor of Bruce Allen Francis and Mathukumalli Vidyasagar on the occasion of their 50th birthdays
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This volume covers a wide variety of papers on learning, control and hybrid systems. Specific topics include: learning in dynamical systems, randomized algorithms in robust control design, identification of systems, digital signal processing, robust and H-infinity control, control of hybrid systems and supervisory control.


Predictive Control for Linear and Hybrid Systems

Автор: Borrelli
Название: Predictive Control for Linear and Hybrid Systems
ISBN: 1107652871 ISBN-13(EAN): 9781107652873
Издательство: Cambridge Academ
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Цена: 9502.00 р.
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Описание: With a simple, unified approach, and with consideration of real-time applications, this book covers the theory of stability, feasibility, and robustness of model predictive control (MPC). It is for graduate and postgraduate students, as well as advanced control practitioners interested in the theory and/or implementation of predictive control.

Fault Tolerant Control Design for Hybrid Systems

Автор: Hao Yang; Bin Jiang; Vincent Cocquempot
Название: Fault Tolerant Control Design for Hybrid Systems
ISBN: 3642106803 ISBN-13(EAN): 9783642106804
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book provides readers a good understanding on how to achieve Fault Tolerant Control goal of Hybrid Systems. It presents important theoretical results as well as their applications.

Filtering and Control of Stochastic Jump Hybrid Systems

Автор: Xiuming Yao; Ligang Wu; Wei Xing Zheng
Название: Filtering and Control of Stochastic Jump Hybrid Systems
ISBN: 3319319140 ISBN-13(EAN): 9783319319148
Издательство: Springer
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Цена: 18284.00 р.
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Описание: Specifically, the considered stochastic jump hybrid systems include Markovian jump Ito stochastic systems, Markovian jump linear-parameter-varying (LPV) systems, Markovian jump singular systems, Markovian jump two-dimensional (2-D) systems, and Markovian jump repeated scalar nonlinear systems.

Verification and Control of Hybrid Systems

Автор: Paulo Tabuada
Название: Verification and Control of Hybrid Systems
ISBN: 1441954988 ISBN-13(EAN): 9781441954985
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book examines several classes of hybrid systems, admitting symbolic models along with the relationships between them. It outlines several key verification and control synthesis results for hybrid systems.

A Theory of Learning and Generalization: With Applications to Neural Networks and Control Systems

Название: A Theory of Learning and Generalization: With Applications to Neural Networks and Control Systems
ISBN: 1849968675 ISBN-13(EAN): 9781849968676
Издательство: Springer
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Цена: 23508.00 р.
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Описание: How does a machine learn a new concept on the basis of examples? This second edition takes account of important new developments in the field. It also deals extensively with the theory of learning control systems, now comparably mature to learning of neural networks.

Predictive Control for Linear and Hybrid Systems

Автор: Borrelli
Название: Predictive Control for Linear and Hybrid Systems
ISBN: 1107016886 ISBN-13(EAN): 9781107016880
Издательство: Cambridge Academ
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Цена: 19800.00 р.
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Описание: Model Predictive Control (MPC), the dominant advanced control approach in industry over the past twenty-five years, is presented comprehensively in this unique book. With a simple, unified approach, and with attention to real-time implementation, it covers predictive control theory including the stability, feasibility, and robustness of MPC controllers. The theory of explicit MPC, where the nonlinear optimal feedback controller can be calculated efficiently, is presented in the context of linear systems with linear constraints, switched linear systems, and, more generally, linear hybrid systems. Drawing upon years of practical experience and using numerous examples and illustrative applications, the authors discuss the techniques required to design predictive control laws, including algorithms for polyhedral manipulations, mathematical and multiparametric programming and how to validate the theoretical properties and to implement predictive control policies. The most important algorithms feature in an accompanying free online MATLAB toolbox, which allows easy access to sample solutions. Predictive Control for Linear and Hybrid Systems is an ideal reference for graduate, postgraduate and advanced control practitioners interested in theory and/or implementation aspects of predictive control.

Hybrid Systems: Computation and Control

Автор: Frits W. Vaandrager; Jan H. van Schuppen
Название: Hybrid Systems: Computation and Control
ISBN: 3540657347 ISBN-13(EAN): 9783540657347
Издательство: Springer
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Цена: 9781.00 р.
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Описание: These papers represent the proceedings of the 2nd International Workshop on Hybrid Systems, Computation and Control. Hybrid systems combine aspects from computer science and control theory, and the papers focus on modelling, control, synthesis, design and verification of hybrid systems.

Control of Electric Machine Drive Systems

Автор: Sul
Название: Control of Electric Machine Drive Systems
ISBN: 0470590793 ISBN-13(EAN): 9780470590799
Издательство: Wiley
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Цена: 20901.00 р.
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Описание: Based on the author`s industry experience and collaborative works with other industries, Control of Electric Machine Drive System is packed with implemented, tested, and verified ideas that relate to everyday problems in the field.

Iterative Learning Control for Deterministic Systems

Автор: Kevin L. Moore
Название: Iterative Learning Control for Deterministic Systems
ISBN: 1447119142 ISBN-13(EAN): 9781447119142
Издательство: Springer
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Цена: 13060.00 р.
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Описание: The text follows with a complete and unifying analysis of the learning control problem for linear LTI systems using a system-theoretic approach which offers insight into the nature of the solution of the learning control problem.

Self-Learning Optimal Control of Nonlinear Systems

Автор: Qinglai Wei; Ruizhuo Song; Benkai Li; Xiaofeng Lin
Название: Self-Learning Optimal Control of Nonlinear Systems
ISBN: 9811040796 ISBN-13(EAN): 9789811040795
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book presents a class of novel, self-learning, optimal control schemes based on adaptive dynamic programming techniques, which quantitatively obtain the optimal control schemes of the systems.

Design and Control of Intelligent Robotic Systems

Автор: Dikai Liu; Lingfeng Wang; Kay Chen Tan (Eds.)
Название: Design and Control of Intelligent Robotic Systems
ISBN: 3540899324 ISBN-13(EAN): 9783540899327
Издательство: Springer
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Цена: 36570.00 р.
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Описание: With the increasing applications of intelligent robotic systems in various ?elds, the - sign and control of these systems have increasingly attracted interest from researchers.


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