Контакты/Проезд  Доставка и Оплата Помощь/Возврат
История
  +7(495) 980-12-10
  пн-пт: 10-18 сб,вс: 11-18
  shop@logobook.ru
   
    Поиск книг                    Поиск по списку ISBN Расширенный поиск    
Найти
  Зарубежные издательства Российские издательства  
Авторы | Каталог книг | Издательства | Новинки | Учебная литература | Акции | Хиты | |
 

Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems, Esfandiari


Варианты приобретения
Цена: 22359.00р.
Кол-во:
 о цене
Наличие: Отсутствует. Возможна поставка под заказ.

При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
При условии наличия книги у поставщика.

Добавить в корзину
в Мои желания

Автор: Esfandiari
Название:  Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems
ISBN: 9783030731380
Издательство: Springer
Классификация:




ISBN-10: 3030731383
Обложка/Формат: Soft cover
Страницы: 163
Вес: 0.36 кг.
Дата издания: 04.07.2022
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 76 tables, color; 76 illustrations, color; 2 illustrations, black and white; xxiii, 163 p. 78 illus., 76 illus. in color.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: The focus of this book is the application of artificial neural networks in uncertain dynamical systems. It explains how to use neural networks in concert with adaptive techniques for system identification, state estimation, and control problems. The authors begin with a brief historical overview of adaptive control, followed by a review of mathematical preliminaries. In the subsequent chapters, they present several neural network-based control schemes. Each chapter starts with a concise introduction to the problem under study, and a neural network-based control strategy is designed for the simplest case scenario. After these designs are discussed, different practical limitations (i.e., saturation constraints and unavailability of all system states) are gradually added, and other control schemes are developed based on the primary scenario. Through these exercises, the authors present structures that not only provide mathematical tools for navigating control problems, but also supply solutions that are pertinent to real-life systems.
Дополнительное описание: Introduction.- Mathematical preliminaries.- NN-Based Adaptive Control of Affine Nonlinear Systems.- NN-Based Adaptive Control of Nonaffine Canonical Nonlinear.- Systems.- NN-Based Adaptive Control of Nonaffine Noncanonical Nonlinear.- NN-Based Adaptive Co



Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models

Автор: Jan Treur
Название: Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models
ISBN: 3030314448 ISBN-13(EAN): 9783030314446
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Moreover, because adaptive networks are described in a network format as well, the approach can simply be applied iteratively, so that higher-order adaptive networks in which network adaptation itself is adaptive (second-order adaptation), too can be modeled just as easily.

Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems

Автор: Esfandiari Kasra, Abdollahi Farzaneh, Talebi Heidar A.
Название: Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems
ISBN: 3030731359 ISBN-13(EAN): 9783030731359
Издательство: Springer
Рейтинг:
Цена: 22359.00 р.
Наличие на складе: Поставка под заказ.

Описание: The focus of this book is the application of artificial neural networks in uncertain dynamical systems. It explains how to use neural networks in concert with adaptive techniques for system identification, state estimation, and control problems. The authors begin with a brief historical overview of adaptive control, followed by a review of mathematical preliminaries. In the subsequent chapters, they present several neural network-based control schemes. Each chapter starts with a concise introduction to the problem under study, and a neural network-based control strategy is designed for the simplest case scenario. After these designs are discussed, different practical limitations (i.e., saturation constraints and unavailability of all system states) are gradually added, and other control schemes are developed based on the primary scenario. Through these exercises, the authors present structures that not only provide mathematical tools for navigating control problems, but also supply solutions that are pertinent to real-life systems.

Adaptive Sliding Mode Neural Network Control for Nonlinear Systems

Автор: Li, Yang
Название: Adaptive Sliding Mode Neural Network Control for Nonlinear Systems
ISBN: 0128153725 ISBN-13(EAN): 9780128153727
Издательство: Elsevier Science
Рейтинг:
Цена: 21054.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Adaptive Sliding Mode Neural Network Control for Nonlinear Systems introduces nonlinear systems basic knowledge, analysis and control methods, and applications in various fields. It offers instructive examples and simulations, along with the source codes, and provides the basic architecture of control science and engineering.

  • Introduces nonlinear systems' basic knowledge, analysis and control methods, along with applications in various fields
  • Offers instructive examples and simulations, including source codes
  • Provides the basic architecture of control science and engineering
Neural Network-Based State Estimation of Nonlinear Systems

Автор: Heidar A. Talebi; Farzaneh Abdollahi; Rajni V. Pat
Название: Neural Network-Based State Estimation of Nonlinear Systems
ISBN: 1441914374 ISBN-13(EAN): 9781441914378
Издательство: Springer
Рейтинг:
Цена: 15672.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This text offers neural network schemes for state estimation, system identification and fault detection. It covers mathematical proof of stability, experimental evaluation, and robustness against unmolded dynamics, external disturbances and measurement noises.

Neural Networks Modeling And Control

Автор: Rios, Jorge D.
Название: Neural Networks Modeling And Control
ISBN: 0128170786 ISBN-13(EAN): 9780128170786
Издательство: Elsevier Science
Рейтинг:
Цена: 19875.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Neural Networks Modelling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time focuses on modeling and control of discrete-time unknown nonlinear delayed systems under uncertainties based on Artificial Neural Networks. First, a Recurrent High Order Neural Network (RHONN) is used to identify discrete-time unknown nonlinear delayed systems under uncertainties, then a RHONN is used to design neural observers for the same class of systems. Therefore, both neural models are used to synthesize controllers for trajectory tracking based on two methodologies: sliding mode control and Inverse Optimal Neural Control.

As well as considering the different neural control models and complications that are associated with them, this book also analyzes potential applications, prototypes and future trends.

Neural Network Control of Robots and Nonlinear Systems

Автор: F W Lewis, S. Jagannathan , A Yesildirak
Название: Neural Network Control of Robots and Nonlinear Systems
ISBN: 0748405968 ISBN-13(EAN): 9780748405961
Издательство: Taylor&Francis
Рейтинг:
Цена: 35218.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: A graduate text providing an authoritative account of neural network Controllers For Robotics And Non-Linear Systems. It Offers Treatment Of A general and streamlined design procedure for NN controllers and tables and examples illustrate the

Robust and Fault-Tolerant Control

Автор: Krzysztof Patan
Название: Robust and Fault-Tolerant Control
ISBN: 3030118681 ISBN-13(EAN): 9783030118686
Издательство: Springer
Рейтинг:
Цена: 19564.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Robust and Fault-Tolerant Control proposes novel automatic control strategies for nonlinear systems developed by means of artificial neural networks and pays special attention to robust and fault-tolerant approaches. The book discusses robustness and fault tolerance in the context of model predictive control, fault accommodation and reconfiguration, and iterative learning control strategies. Expanding on its theoretical deliberations the monograph includes many case studies demonstrating how the proposed approaches work in practice. The most important features of the book include:

a comprehensive review of neural network architectures with possible applications in system modelling and control;a concise introduction to robust and fault-tolerant control;step-by-step presentation of the control approaches proposed;an abundance of case studies illustrating the important steps in designing robust and fault-tolerant control; anda large number of figures and tables facilitating the performance analysis of the control approaches described.
The material presented in this book will be useful for researchers and engineers who wish to avoid spending excessive time in searching neural-network-based control solutions. It is written for electrical, computer science and automatic control engineers interested in control theory and their applications. This monograph will also interest postgraduate students engaged in self-study of nonlinear robust and fault-tolerant control.
Stabilization and regulation of nonlinear systems.

Автор: Chen, Zhiyong
Название: Stabilization and regulation of nonlinear systems.
ISBN: 3319088335 ISBN-13(EAN): 9783319088334
Издательство: Springer
Рейтинг:
Цена: 12577.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

The core of this textbook is a systematic and self-contained treatment of the nonlinear stabilization and output regulation problems. Its coverage embraces both fundamental concepts and advanced research outcomes and includes many numerical and practical examples. Several classes of important uncertain nonlinear systems are discussed. The state-of-the art solution presented uses robust and adaptive control design ideas in an integrated approach which demonstrates connections between global stabilization and global output regulation allowing both to be treated as stabilization problems.

Stabilization and Regulation of Nonlinear Systems takes advantage of rich new results to give students up-to-date instruction in the central design problems of nonlinear control, problems which are a driving force behind the furtherance of modern control theory and its application. The diversity of systems in which stabilization and output regulation become significant concerns in the mathematical formulation of practical control solutions-whether in disturbance rejection in flying vehicles or synchronization of Lorenz systems with harmonic systems-makes the text relevant to readers from a wide variety of backgrounds. Many exercises are provided to facilitate study and solutions are freely available to instructors via a download from springerextras.com.

Striking a balance between rigorous mathematical treatment and engineering practicality, Stabilization and Regulation of Nonlinear Systems is an ideal text for graduate students from many engineering and applied-mathematical disciplines seeking a contemporary course in nonlinear control. Practitioners and academic theorists will also find this book a useful reference on recent thinking in this field.

Nonlinear Vibration with Control

Автор: David Wagg; Simon Neild
Название: Nonlinear Vibration with Control
ISBN: 3319106430 ISBN-13(EAN): 9783319106434
Издательство: Springer
Рейтинг:
Цена: 20896.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book provides a comprehensive discussion of nonlinear multi-modal structural vibration problems, and shows how vibration suppression can be applied to such systems by considering a sample set of relevant control techniques.

Modeling and adaptive nonlinear control of electric motors

Автор: Khorrami, F. Krishnamurthy, Prashant Melkote, H.
Название: Modeling and adaptive nonlinear control of electric motors
ISBN: 3642056679 ISBN-13(EAN): 9783642056673
Издательство: Springer
Рейтинг:
Цена: 32651.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This research monograph considers modelling and control design of electric motors, namely step motors, brushless DC motors and induction motors. The book reports new global robust adaptive designs for motors and provides new tools for control designs, with an emphasis on stepper motors.

Nonlinear Vibration with Control

Автор: David Wagg; Simon Neild
Название: Nonlinear Vibration with Control
ISBN: 3319331027 ISBN-13(EAN): 9783319331027
Издательство: Springer
Рейтинг:
Цена: 18284.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book provides a comprehensive discussion of nonlinear multi-modal structural vibration problems, and shows how vibration suppression can be applied to such systems by considering a sample set of relevant control techniques.

Nonlinear and Adaptive Control of Complex Systems

Автор: A.L. Fradkov; I.V. Miroshnik; V.O. Nikiforov
Название: Nonlinear and Adaptive Control of Complex Systems
ISBN: 9048152941 ISBN-13(EAN): 9789048152940
Издательство: Springer
Рейтинг:
Цена: 15372.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: T his book presents a t.hooretical framewerk and control methodology for a class of complcx dyna.mical systenis characterized by high state space dimension, multiple inpu t.s anrl out puts. significant nonlinearity, parametric uncertainty and unmodellod dyuarni cs. The book start.s wit.h an inl.rod uct.orv Chapter 1 where the peculiari- ties of control problcrns Ior complex systems are discussed and motivating examples from different fiolds of seience and technology are given. Chapter 2 prcscnts SO Il I(' rcsults of nonlinear control theory which assist in reading subsequent chaptors. The main notions and concepts of stability theory are int roduced. and problems of nonlinear transformation of sys- tem coordinates an' discussod. On this basis, we consider different design techniques and approaches t 0 linearization. stabilization and passification of nonlinear dynamical SySt('IIIS. Chapter 3 gives an cx posit.ion of the Speed-Gradient method and its ap- plications to nonlinear aud adaptive control. Convergence and robustness properties are exam iued. I roblcms of rcgulat ion, tracking, partial stabiliza- tion and control of 11amiItonia.n systerns are considered .


ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
   В Контакте     В Контакте Мед  Мобильная версия