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Title
Multi-model jumping systems : robust filtering and fault detection / Shuping He, Xiaoli Luan.
ISBN
9789813364745 (electronic bk.)
9813364742 (electronic bk.)
9813364734
9789813364738
Publication Details
Singapore : Springer, 2021.
Language
English
Description
1 online resource (xiii, 182 pages) : illustrations.
Item Number
10.1007/978-981-33-6474-5 doi
Call Number
TA330
Dewey Decimal Classification
620.001/51
Summary
This book focuses on multi-model systems, describing how to apply intelligent technologies to model complex multi-model systems by combining stochastic jumping system, neural network and fuzzy models. It focuses on robust filtering, including finite-time robust filtering, finite-frequency robust filtering and higher order moment robust filtering schemes, as well as fault detection problems for multi-model jump systems, such as observer-based robust fault detection, filtering-based robust fault detection and neural network-based robust fault detection methods. The book also demonstrates the validity and practicability of the theoretical results using simulation and practical examples, like circuit systems, robot systems and power systems. Further, it introduces readers to methods such as finite-time filtering, finite-frequency robust filtering, as well as higher order moment and neural network-based fault detection methods for multi-model jumping systems, allowing them to grasp the modeling, analysis and design of the multi-model systems presented and implement filtering and fault detection analysis for various systems, including circuit, network and mechanical systems.
Bibliography, etc. Note
Includes bibliographical references.
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Access limited to authorized users.
Digital File Characteristics
text file
PDF
Introduction
Robust filtering for multi-model jumping system
Finite-time robust filtering for multi-model jumping system
Finite-frequency robust filtering for multi-model jumping system
Higher order moment robust filtering for multi-model jumping system
Robust fault detection for multi-model jumping system
Observer-based robust fault detection for fuzzy multi-model jumping system
Filtering-based robust fault detection of fuzzy multi-model jumping system
Neural network-based robust fault detection for nonlinear multi-model jumping system
Conclusion.
