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

Adaptive Traffic Light Control In WSN-Based ITS, Binbin Zhou, Jiannong Cao und Bai Li



Варианты приобретения
Цена: 9266р.
Кол-во:
 о цене
Наличие: Отсутствует. 
Возможна поставка под заказ. Дата поступления на склад уточняется после оформления заказа


Заказ пока невозможен
в Мои желания

Автор: Binbin Zhou, Jiannong Cao und Bai Li
Название:  Adaptive Traffic Light Control In WSN-Based ITS
ISBN: 9783848425426
Издательство: LAP LAMBERT Academic Publishing
Классификация:
ISBN-10: 3848425424
Обложка/Формат: Paperback
Страницы: 156
Вес: 0.236 кг.
Дата издания: 03.04.2012
Серия: Wireless Sensor Network, Intelligent Transportation System
Язык: English
Иллюстрации: Black & white illustrations
Размер: 229 x 152 x 9
Читательская аудитория: General (us: trade)
Рейтинг:



Nonlinear and adaptive control with applications

Автор: Astolfi, Alessandro Karagiannis, Dimitrios Ortega,
Название: Nonlinear and adaptive control with applications
ISBN: 1848000650 ISBN-13(EAN): 9781848000650
Издательство: Springer
Рейтинг:
Цена: 18479 р.
Наличие на складе: Поставка под заказ.

Описание: Presents a treatment of the design of robust adaptive controllers for nonlinear systems with uncertainties. Departing, in part, from the Lyapunov-function approach of classical control, this title delivers various algorithms for the construction of robust asymptotically-stabilising and adaptive control laws for nonlinear systems.

Intelligent Adaptive Control

Автор: Jain
Название: Intelligent Adaptive Control
ISBN: 0849398053 ISBN-13(EAN): 9780849398056
Издательство: Taylor&Francis
Рейтинг:
Цена: р.
Наличие на складе: Невозможна поставка.

Описание: Intelligent Adaptive Control describes important techniques, developments, and applications of computational intelligence in system control. The book provides a state-of-the-art treatment of practical applications of computational intelligence in system control. It cohesively covers introductory and advanced theory, design, implementation, and industrial use - serving as a singular resource for the theory and application of intelligent control, particularly employing fuzzy logic, neural networks, and evolutionary computing.

Architectures and Synthesizers for Ultra-low Power Fast Frequency-Hopping WSN Radios

Автор: Emanuele Lopelli; Johan van der Tang; Arthur H.M.
Название: Architectures and Synthesizers for Ultra-low Power Fast Frequency-Hopping WSN Radios
ISBN: 9400734506 ISBN-13(EAN): 9789400734500
Издательство: Springer
Рейтинг:
Цена: 16190 р.
Наличие на складе: Поставка под заказ.

Описание: This book covers architectural and circuit level solutions for ultra-low power, robust, uni-directional and bi-directional radio links. It guides the reader through the system, circuit and technology trade-offs faced in the design of communication systems.

Architectures and Synthesizers for Ultra-Low Power Fast Frequency-Hopping WSN Radios

Автор: Lopelli
Название: Architectures and Synthesizers for Ultra-Low Power Fast Frequency-Hopping WSN Radios
ISBN: 9400701829 ISBN-13(EAN): 9789400701823
Издательство: Springer
Рейтинг:
Цена: 18349 р.
Наличие на складе: Поставка под заказ.

Описание: Wireless sensor networks have the potential to become the third wireless revolution after wireless voice networks in the 80s and wireless data networks in the late 90s. Unfortunately, radio power consumption is still a major bottleneck to the wide adoption of this technology. Different directions have been explored to minimize the radio consumption, but the major drawback of the proposed solutions is a reduced wireless link robustness.The primary goal of Architectures and Synthesizers for Ultra-low Power Fast Frequency-Hopping WSN Radios is to discuss, in detail, existing and new architectural and circuit level solutions for ultra-low power, robust, uni-directional and bi-directional radio links.Architectures and Synthesizers for Ultra-low Power Fast Frequency-Hopping WSN Radios guides the reader through the many system, circuit and technology trade-offs he will be facing in the design of communication systems for wireless sensor networks. Finally, this book, through different examples realized in both advanced CMOS and bipolar technologies opens a new path in the radio design, showing how radio link robustness can be guaranteed by techniques that were previously exclusively used in radio systems for middle or high end applications like Bluetooth and military communications while still minimizing the overall system power consumption.

Nonlinear and Adaptive Control of Complex Systems

Автор: Fradkov
Название: Nonlinear and Adaptive Control of Complex Systems
ISBN: 0792358929 ISBN-13(EAN): 9780792358923
Издательство: Springer
Рейтинг:
Цена: 15014 р.
Наличие на складе: Поставка под заказ.

Описание: Presents a theoretical framework and control methodology for a class of complex dynamical systems characterised by high state space dimension, multiple inputs and outputs, significant nonlinearity, parametric uncertainty, and unmodeled dynamics.

Adaptive Multi-reservoir-based Flood Control and Management for the Yellow River

Автор: Li
Название: Adaptive Multi-reservoir-based Flood Control and Management for the Yellow River
ISBN: 1138001023 ISBN-13(EAN): 9781138001022
Издательство: Taylor&Francis
Рейтинг:
Цена: 9624 р.
Наличие на складе: Невозможна поставка.

Описание: The Yellow River experienced many major floods in the past, often with catastrophic effects for the North China Plain. After establishing the Yellow River Conservancy Commission (YRCC) of the Ministry of Water Resources, a number of reservoirs were constructed for flood control and water resources management. For the mid and lower Yellow River, the operation of the multi-reservoir system plays an essential role in minimizing possible damage in relevant regions. In order to deal with changing reservoir storage conditions and variable river discharges due to climate change, adaptive management procedures are required. At present the decision making process takes place in collective management meetings with the support of numerical simulations for flood simulation. There is a need to develop new software tools to achieve more effective decision support within precious lead time. Also, a special robust routing technique was needed as developed in this thesis for accurate and robust flood routing that can deal with multi-valued storage-release relations. Nowadays advanced numerical flood simulation models are available with great level of detail and high computational efficiency. Also, appropriate software architectures are capable of combining model-based simulation systems with a data-centered approach at near real-time operational performance. Case study applications show that such approach is feasible for the next generation software systems for adaptive management and decision support of complex river systems.

Learning-based Adaptive Control

Автор: Benosman, Mouhacine
Название: Learning-based Adaptive Control
ISBN: 0128031360 ISBN-13(EAN): 9780128031360
Издательство: Elsevier Science
Рейтинг:
Цена: 11781 р.
Наличие на складе: Поставка под заказ.

Описание: Adaptive control has been one of the main problems studied in control theory. The subject is well understood, yet it has a very active research frontier. This book focuses on a specific subclass of adaptive control, namely, learning-based adaptive control. As systems evolve during time or are exposed to unstructured environments, it is expected that some of their characteristics may change. This book offers a new perspective about how to deal with these variations. By merging together Model-Free and Model-Based learning algorithms, the author demonstrates, using a number of mechatronic examples, how the learning process can be shortened and optimal control performance can be reached and maintained.

Adaptive Approximation Based Control: Unifying Neural, Fuzzy and Traditional Adaptive Approximation Approaches

Автор: Jay A. Farrell
Название: Adaptive Approximation Based Control: Unifying Neural, Fuzzy and Traditional Adaptive Approximation Approaches
ISBN: 0471727881 ISBN-13(EAN): 9780471727880
Издательство: Wiley
Рейтинг:
Цена: 16913 р.
Наличие на складе: Поставка под заказ.

Описание: Mixing approximation theory, parameter estimation and feedback control, this book presents an unified approach designed to enable readers to apply adaptive approximation based control to existing systems, and more importantly, to gain enough understanding to manipulate and combine it with other tools for applications not encountered before.

Adaptive control

Автор: Landau, Ioan Dore Lozano, Rogelio M`saad, Mohammed
Название: Adaptive control
ISBN: 0857296639 ISBN-13(EAN): 9780857296634
Издательство: Springer
Рейтинг:
Цена: 18479 р.
Наличие на складе: Поставка под заказ.

Описание: Adaptive Control (second edition) shows how a desired level of system performance can be maintained automatically and in real time, even when process or disturbance parameters are unknown and variable. It is a coherent exposition of the many aspects of this field, setting out the problems to be addressed and moving on to solutions, their practical significance and their application. Discrete-time aspects of adaptive control are emphasized to reflect the importance of digital computers in the application of the ideas presented. The second edition is thoroughly revised to throw light on recent developments in theory and applications with new chapters on: multimodel adaptive control with switching, direct and indirect adaptive regulation and adaptive feedforward disturbance compensation. Many algorithms are newly presented in MATLAB® m-file format to facilitate their employment in real systems. Classroom-tested slides for instructors to use in teaching this material are also now provided. All of this supplementary electronic material can be downloaded from fill in URL. The core material is also up-dated and re-edited to keep its perspective in line with modern ideas and more closely to associate algorithms with their applications giving the reader a solid grounding in: synthesis and analysis of parameter adaptation algorithms, recursive plant model identification in open and closed loop, robust digital control for adaptive control; • robust parameter adaptation algorithms, practical considerations and applications, including flexible transmission systems, active vibration control and broadband disturbance rejection and a supplementary introduction on hot dip galvanizing and a phosphate drying furnace. Control researchers and applied mathematicians will find Adaptive Control of significant and enduring interest and its use of example and application will appeal to practitioners working with unknown- and variable-parameter plant. Praise for the first edition: …well written, interesting and easy to follow, so that it constitutes a valuable addition to the monographies in adaptive control for discrete-time linear systems… suitable (at least in part) for use in graduate courses in adaptive control.

Robust and Adaptive Control

Автор: Lavretsky
Название: Robust and Adaptive Control
ISBN: 1447143957 ISBN-13(EAN): 9781447143956
Издательство: Springer
Рейтинг:
Цена: 8661 р.
Наличие на складе: Поставка под заказ.

Описание:

"Robust and Adaptive Control" shows the reader how to produce consistent and accurate controllers that operate in the presence of uncertainties and unforeseen events. Driven by aerospace applications the focus of the book is primarily on continuous-dynamical systems.

The text is a three-part treatment, beginning with robust and optimal linear control methods and moving on to a self-contained presentation of the design and analysis of model reference adaptive control (MRAC) for nonlinear uncertain dynamical systems. Recent extensions and modifications to MRAC design are included, as are guidelines for combining robust optimal and MRAC controllers. Features of the text include:

. case studies that demonstrate the benefits of robust and adaptive control for piloted, autonomous and experimental aerial platforms;

. detailed background material for each chapter to motivate theoretical developments;

. realistic examples and simulation data illustrating key features of the methods described; and

. problem solutions for instructors and MATLAB(r) code provided electronically.

The theoretical content and practical applications reported address real-life aerospace problems, being based on numerous transitions of control-theoretic results into operational systems and airborne vehicles that are drawn from the authors extensive professional experience with The Boeing Company. The systems covered are challenging, often open-loop unstable, with uncertainties in their dynamics, and thus requiring both persistently reliable control and the ability to track commands either from a pilot or a guidance computer.

Readers are assumed to have a basic understanding of root locus, Bode diagrams, and Nyquist plots, as well as linear algebra, ordinary differential equations, and the use of state-space methods in analysis and modeling of dynamical systems.

"Robust and Adaptive Control" is intended to methodically teach senior undergraduate and graduate students how to construct stable and predictable control algorithms for realistic industrial applications. Practicing engineers and academic researchers will also find the book of great instructional value.

"

Identification and Stochastic Adaptive Control

Автор: Chen
Название: Identification and Stochastic Adaptive Control
ISBN: 0817635971 ISBN-13(EAN): 9780817635978
Издательство: Springer
Рейтинг:
Цена: 26450 р.
Наличие на складе: Поставка под заказ.

Описание: Identifying the input-output relationship of a system or discovering the evolutionary law of a signal on the basis of observation data, and applying the constructed mathematical model to predicting, controlling or extracting other useful information constitute a problem that has been drawing a lot of attention from engineering and gaining more and more importance in econo metrics, biology, environmental science and other related areas. Over the last 30-odd years, research on this problem has rapidly developed in various areas under different terms, such as time series analysis, signal processing and system identification. Since the randomness almost always exists in real systems and in observation data, and since the random process is sometimes used to model the uncertainty in systems, it is reasonable to consider the object as a stochastic system. In some applications identification can be carried out off line, but in other cases this is impossible, for example, when the structure or the parameter of the system depends on the sample, or when the system is time-varying. In these cases we have to identify the system on line and to adjust the control in accordance with the model which is supposed to be approaching the true system during the process of identification. This is why there has been an increasing interest in identification and adaptive control for stochastic systems from both theorists and practitioners."

The Cerebellum and Adaptive Control

Автор: John S. Barlow
Название: The Cerebellum and Adaptive Control
ISBN: 0521018072 ISBN-13(EAN): 9780521018074
Издательство: Cambridge Academ
Рейтинг:
Цена: 4929 р.
Наличие на складе: Поставка под заказ.

Описание: How the cerebellum accomplishes its highly complex feats of coordination has been the subject of much inquiry; one of the pre-eminent theories places adaptive control at the forefront. This book reinforces the view that the cerebellum functions as an adaptive control system; that is, it automatically adjusts its output as needed for such eventualities as temporary or lasting weakness of muscle. It is the first text to synthesize the substantial body of literature on the subject, combining the neuroscience of the cerebellum with the science of control theory common to electrical and computer engineers. Organized in four parts, the book examines cerebellar anatomy and physiology; cerebellar function; models and theories; and ends with a summary and conclusions. The author’s clinical perspective offers a broader view of cerebellar function beyond the basic neuroscience. An appendix demonstrates evidence supporting the adaptive control model from a detailed comparison of the cerebellum with an adaptive signal processor of the author’s design and construction.


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