Описание: This book introduces the principle theories and applications of control and filtering problems to address emerging hot topics in feedback systems. With the development of IT technology at the core of the 4th industrial revolution, dynamic systems are becoming more sophisticated, networked, and advanced to achieve even better performance. However, this evolutionary advance in dynamic systems also leads to unavoidable constraints. In particular, such elements in control systems involve uncertainties, communication/transmission delays, external noise, sensor faults and failures, data packet dropouts, sampling and quantization errors, and switching phenomena, which have serious effects on the system’s stability and performance. This book discusses how to deal with such constraints to guarantee the system’s design objectives, focusing on real-world dynamical systems such as Markovian jump systems, networked control systems, neural networks, and complex networks, which have recently excited considerable attention. It also provides a number of practical examples to show the applicability of the presented methods and techniques.This book is of interest to graduate students, researchers and professors, as well as R&D engineers involved in control theory and applications looking to analyze dynamical systems with constraints and to synthesize various types of corresponding controllers and filters for optimal performance of feedback systems.
Автор: Somayeh Sojoudi; Javad Lavaei; Amir G. Aghdam Название: Structurally Constrained Controllers ISBN: 1489985425 ISBN-13(EAN): 9781489985422 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This study of the control of interconnected systems with a particular application in network, power systems, flight formations, etc. introduces four important problems regarding the control of such systems and then proposes proper techniques for solving them.
Описание: This book focuses on the basic control and filtering synthesis problems for discrete-time switched linear systems under time-dependent switching signals.
Автор: S.S. Wilson; Boris N. Pshenichnyj Название: The Linearization Method for Constrained Optimization ISBN: 364263401X ISBN-13(EAN): 9783642634017 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book, written by one of the leading specialists of optimization theory, sets out to provide - for a wide readership including engineers, economists and optimization specialists, from graduate student level on - a brief yet quite complete exposition of this most effective method of solution of optimization problems.
Автор: Rituparna Datta; Kalyanmoy Deb Название: Evolutionary Constrained Optimization ISBN: 8132235053 ISBN-13(EAN): 9788132235057 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book makes available a self-contained collection of modern research addressing the general constrained optimization problems using evolutionary algorithms.
Автор: Rituparna Datta; Kalyanmoy Deb Название: Evolutionary Constrained Optimization ISBN: 8132221834 ISBN-13(EAN): 9788132221838 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book makes available a self-contained collection of modern research addressing the general constrained optimization problems using evolutionary algorithms.
Описание: This book discusses how to deal with such constraints to guarantee the system`s design objectives, focusing on real-world dynamical systems such as Markovian jump systems, networked control systems, neural networks, and complex networks, which have recently excited considerable attention.
Описание: This book presents and develops new reinforcement learning methods that enable fast and robust learning on robots in real-time. It presents a novel model-based reinforcement learning algorithm.
Автор: Amnon Meisels Название: Distributed Search by Constrained Agents ISBN: 1849967105 ISBN-13(EAN): 9781849967105 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The well defined model of distributed constraints satisfaction and optimization (DisCSPs/DisCOPs) can serve as the basis for the design and investigation of distributed search algorithms, of protocols and of negotiations and search.
Описание: This book addresses two of the most difficult and computationally intractable classes of problems: discrete resource constrained scheduling, and discrete-continuous scheduling.
Описание: This book presents and develops new reinforcement learning methods that enable fast and robust learning on robots in real-time. It presents a novel model-based reinforcement learning algorithm.
