Advances in Fault Detection and Diagnosis Using Filtering Analysis, Wang Ziyun, Wang Yan, Ji Zhicheng
Автор: Dong Wang; Peng Shi; Wei Wang Название: Robust Filtering and Fault Detection of Switched Delay Systems ISBN: 3642376843 ISBN-13(EAN): 9783642376849 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Switched delay systems appear in a wide field of applications including networked control systems, power systems, memristive systems.
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.
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: and* communication systems.Differential Flatness Approaches to Nonlinear Control and Filtering will be a useful reference for academic researchers studying advanced problems in nonlinear control and nonlinear dynamics, and for engineers working on control applications in electromechanical systems.
Автор: Huijun Gao; Xianwei Li Название: Robust Filtering for Uncertain Systems ISBN: 3319356747 ISBN-13(EAN): 9783319356747 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduction.- Part I Quadratic and Parameter-Dependent Filter Design.- Quadratic Robust Filter Design.- Parameter-Dependent Robust Filter Design.- Part II Robust Filtering for Time-Delay Systems and 2-D Systems.- Robust Filtering for Continuous-Time Time-Delay Systems.- Robust Filtering for Discrete-Time Time-Delay Systems.- Robust Filtering for Uncertain 2-D Systems.- Part III New Problems in Robust Filtering.- Robust Estimation with Limited Communication Capacity.- Finite-Frequency H-infinity Filtering for Time-Delay Systems.- Conclusion.
Автор: M. Ahmadi; M. Azimi-Sadjadi; R. Gorgui-Naguib; R. Название: Digital Filtering in One and Two Dimensions ISBN: 1489909206 ISBN-13(EAN): 9781489909206 Издательство: Springer Рейтинг: Цена: 26122.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book has been conceived to extend the generally published work on one- and two-dimensional digital filters in order to include some of the more recently developed ideas.
Автор: Mohinder S. Grewal,Angus P. Andrews Название: Kalman Filtering: Theory and Practice with MATLAB ISBN: 1118851218 ISBN-13(EAN): 9781118851210 Издательство: Wiley Рейтинг: Цена: 18050.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The definitive textbook and professional reference on Kalman Filtering fully updated, revised, and expanded This book contains the latest developments in the implementation and application of Kalman filtering.
Автор: W. H. Fleming; L. G. Gorostiza Название: Advances in Filtering and Optimal Stochastic Control ISBN: 3662135310 ISBN-13(EAN): 9783662135310 Издательство: Springer Рейтинг: Цена: 16979.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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 Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Описание: This book focuses on the basic control and filtering synthesis problems for discrete-time switched linear systems under time-dependent switching signals.
Автор: Li Fanbiao, Shi Peng, Wu Ligang Название: Control and Filtering for Semi-Markovian Jump Systems ISBN: 3319836773 ISBN-13(EAN): 9783319836775 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It presents solutions to a series of problems with new approaches for the control and filtering of S-MJS, including stability analysis, sliding mode control, dynamic output feedback control, robust filter design, and fault detection.
Автор: Alan Bain; Dan Crisan Название: Fundamentals of Stochastic Filtering ISBN: 1441926429 ISBN-13(EAN): 9781441926425 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a rigorous mathematical treatment of the non-linear stochastic filtering problem using modern methods. While no prior knowledge of stochastic filtering is required, readers are assumed to be familiar with measure theory, probability theory and the basics of stochastic processes.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
