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Multi-model Jumping Systems: Robust Filtering and Fault Detection, He Shuping, Luan Xiaoli


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Цена: 93160.00T
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Автор: He Shuping, Luan Xiaoli
Название:  Multi-model Jumping Systems: Robust Filtering and Fault Detection
ISBN: 9789813364769
Издательство: Springer
Классификация:


ISBN-10: 9813364769
Обложка/Формат: Paperback
Страницы: 198
Вес: 0.29 кг.
Дата издания: 16.03.2022
Язык: English
Издание: 1st ed. 2021
Иллюстрации: 20 tables, color; 8 illustrations, color; 37 illustrations, black and white; xiii, 182 p. 45 illus., 8 illus. in color.
Размер: 23.39 x 15.60 x 1.07 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:

Introduction.- Robust Filtering.- Robust filtering for jumping systems.- Finite-time robust filtering for jumping systems.- Finite-frequency robust filtering for jumping systems.- Higher order moment robust filtering for jumping systems.- Fault Detection.- Robust fault detection for jumping systems.- Observer-based robust fault detection for fuzzy jumping systems.- Filtering-based robust fault detection of fuzzy jumping systems.- Neural network-based robust fault detection for nonlinear jumping systems.- Conclusion.



Robust Filtering for Uncertain Systems

Автор: Huijun Gao; Xianwei Li
Название: Robust Filtering for Uncertain Systems
ISBN: 3319356747 ISBN-13(EAN): 9783319356747
Издательство: Springer
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Цена: 95770.00 T
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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.

Multi-Model Jumping Systems: Robust Filtering and Fault Detection

Автор: He Shuping, Luan Xiaoli
Название: Multi-Model Jumping Systems: Robust Filtering and Fault Detection
ISBN: 9813364734 ISBN-13(EAN): 9789813364738
Издательство: Springer
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Introduction.- Robust Filtering.- Robust filtering for jumping systems.- Finite-time robust filtering for jumping systems.- Finite-frequency robust filtering for jumping systems.- Higher order moment robust filtering for jumping systems.- Fault Detection.- Robust fault detection for jumping systems.- Observer-based robust fault detection for fuzzy jumping systems.- Filtering-based robust fault detection of fuzzy jumping systems.- Neural network-based robust fault detection for nonlinear jumping systems.- Conclusion.


Robust Filtering and Fault Detection of Switched Delay Systems

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
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Цена: 104480.00 T
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Описание: Switched delay systems appear in a wide field of applications including networked control systems, power systems, memristive systems.

Predictive Filtering For Microsatellite Control Systems

Автор: Cao, Lu
Название: Predictive Filtering For Microsatellite Control Systems
ISBN: 0128218657 ISBN-13(EAN): 9780128218655
Издательство: Elsevier Science
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Цена: 123520.00 T
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Описание:

Predictive Filtering for Microsatellite Control Systems introduces technological design, modeling, stability analysis, predictive filtering, state estimation problem and real-time operation of spacecraft control systems in aerospace engineering. The book gives a systematically and almost self-contained description of the many facets of envisaging, designing, implementing or experimentally exploring predictive filtering for spacecraft control systems, along with the adequate designs of integrated modeling, dynamics, state estimation, and signal processing of spacecrafts and nonlinear systems.


Advances in Fault Detection and Diagnosis Using Filtering Analysis

Автор: Wang Ziyun, Wang Yan, Ji Zhicheng
Название: Advances in Fault Detection and Diagnosis Using Filtering Analysis
ISBN: 9811659583 ISBN-13(EAN): 9789811659584
Издательство: Springer
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Цена: 111790.00 T
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Описание: The book provides fault detection and diagnosis approaches from the perspective of filtering analysis. Some typical application cases are studied for fault detection and diagnosis in detail, which are power converter, permanent magnet synchronous motor, pitch system of wind turbine.

Robust Output Feedback H-infinity Control and Filtering for Uncertain Linear Systems

Автор: Xiao-Heng Chang
Название: Robust Output Feedback H-infinity Control and Filtering for Uncertain Linear Systems
ISBN: 3662525496 ISBN-13(EAN): 9783662525494
Издательство: Springer
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Цена: 104480.00 T
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Описание: "Robust Output Feedback H-infinity Control and Filtering for Uncertain Linear Systems" discusses new and meaningful findings on robust output feedback H-infinity control and filtering for uncertain linear systems, presenting a number of useful and less conservative design results based on the linear matrix inequality (LMI) technique.

Robust Output Feedback H-infinity Control and Filtering for Uncertain Linear Systems

Автор: Xiao-Heng Chang
Название: Robust Output Feedback H-infinity Control and Filtering for Uncertain Linear Systems
ISBN: 3642551068 ISBN-13(EAN): 9783642551062
Издательство: Springer
Рейтинг:
Цена: 102480.00 T
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Описание: "Robust Output Feedback H-infinity Control and Filtering for Uncertain Linear Systems" discusses new and meaningful findings on robust output feedback H-infinity control and filtering for uncertain linear systems, presenting a number of useful and less conservative design results based on the linear matrix inequality (LMI) technique.

Robust Filtering for Uncertain Systems

Автор: Huijun Gao; Xianwei Li
Название: Robust Filtering for Uncertain Systems
ISBN: 3319059025 ISBN-13(EAN): 9783319059020
Издательство: Springer
Рейтинг:
Цена: 130610.00 T
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Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems

Автор: Su Xiaojie, Wen Yao, Yang Yue
Название: Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems
ISBN: 3030812138 ISBN-13(EAN): 9783030812133
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
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Описание: This book aims to introduce the state-of-the-art research of stability/performance analysis and optimal synthesis methods for fuzzy-model-based systems. A series of problems are solved with new approaches of design, analysis and synthesis of fuzzy systems, including stabilization control and stability analysis, dynamic output feedback control, fault detection filter design, and reduced-order model approximation. Some efficient techniques, such as Lyapunov stability theory, linear matrix inequality, reciprocally convex approach, and cone complementary linearization method, are utilized in the approaches. This book is a comprehensive reference for researchers and practitioners working on intelligent control, model reduction, and fault detection of fuzzy systems, and is also a useful source of information for senior undergraduates and graduates in these areas. The readers will benefit from some new concepts and methodologies with theoretical and practical significance in system analysis and control synthesis.

Kalman Filtering: Theory and Practice with MATLAB

Автор: Mohinder S. Grewal,Angus P. Andrews
Название: Kalman Filtering: Theory and Practice with MATLAB
ISBN: 1118851218 ISBN-13(EAN): 9781118851210
Издательство: Wiley
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Цена: 120330.00 T
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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.

Adaptive Filtering

Автор: Paulo S. R. Diniz
Название: Adaptive Filtering
ISBN: 3030290565 ISBN-13(EAN): 9783030290566
Издательство: Springer
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Цена: 93160.00 T
Наличие на складе: Невозможна поставка.
Описание: The book provides a concise background on adaptive filtering, including the family of LMS, affine projection, RLS, set-membership algorithms and Kalman filters, as well as nonlinear, sub-band, blind, IIR adaptive filtering, and more.

Control and Filtering of Fuzzy Systems with Switched Parameters

Автор: Shanling Dong; Zheng-Guang Wu; Peng Shi
Название: Control and Filtering of Fuzzy Systems with Switched Parameters
ISBN: 3030355659 ISBN-13(EAN): 9783030355654
Издательство: Springer
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Цена: 93160.00 T
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Описание:

This book presents recent advances in control and filter design for Takagi-Sugeno (T-S) fuzzy systems with switched parameters. Thanks to its powerful ability in transforming complicated nonlinear systems into a set of linear subsystems, the T-S fuzzy model has received considerable attention from those the field of control science and engineering. Typical applications of T-S fuzzy systems include communication networks, and mechanical and power electronics systems. Practical systems often experience abrupt variations in their parameters or structures due to outside disturbances or component failures, and random switching mechanisms have been used to model these stochastic changes, such as the Markov jump principle.
There are three general types of controller/filter for fuzzy Markov jump systems: mode-independent, mode-dependent and asynchronous. Mode-independence does not focus on whether modes are accessible and ignores partially useful mode information, which results in some conservatism. The mode-dependent design approach relies on timely, complete and correct information regarding the mode of the studied plant. Factors like component failures and data dropouts often make it difficult to obtain exact mode messages, which further make the mode-dependent controllers/filters less useful. Recently, to overcome these issues, researchers have focused on asynchronous techniques. Asynchronous modes are accessed by observing the original systems based on certain probabilities. The book investigates the problems associated with controller/filter design for all three types.
It also considers various networked constraints, such as data dropouts and time delays, and analyzes the performances of the systems based on Lyapunov function and matrix inequality techniques, including the stochastic stability, dissipativity, and $H_\infty$. The book not only shows how these approaches solve the control and filtering problems effectively, but also offers potential meaningful research directions and ideas.
Covering a variety of fields, including continuous-time and discrete-time Markov processes, fuzzy systems, robust control, and filter design problems, the book is primarily intended for researchers in system and control theory, and is also a valuable reference resource for graduate and undergraduate students. Further, it provides cases of fuzzy control problems that are of interest to scientists, engineers and researchers in the field of intelligent control. Lastly it is useful for advanced courses focusing on fuzzy modeling, analysis, and control.


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