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Robust Model-Based Fault Diagnosis for Dynamic Systems
Jie Chen,Ron J. Patton +1 more
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Robust Model-Based Fault Diagnosis for Dynamic Systems targets both newcomers who want to get into this subject, and experts who are concerned with fundamental issues and are also looking for inspiration for future research.Abstract:
There is an increasing demand for dynamic systems to become safer and more reliable This requirement extends beyond the normally accepted safety-critical systems such as nuclear reactors and aircraft, where safety is of paramount importance, to systems such as autonomous vehicles and process control systems where the system availability is vital It is clear that fault diagnosis is becoming an important subject in modern control theory and practice Robust Model-Based Fault Diagnosis for Dynamic Systems presents the subject of model-based fault diagnosis in a unified framework It contains many important topics and methods; however, total coverage and completeness is not the primary concern The book focuses on fundamental issues such as basic definitions, residual generation methods and the importance of robustness in model-based fault diagnosis approaches In this book, fault diagnosis concepts and methods are illustrated by either simple academic examples or practical applications The first two chapters are of tutorial value and provide a starting point for newcomers to this field The rest of the book presents the state of the art in model-based fault diagnosis by discussing many important robust approaches and their applications This will certainly appeal to experts in this field Robust Model-Based Fault Diagnosis for Dynamic Systems targets both newcomers who want to get into this subject, and experts who are concerned with fundamental issues and are also looking for inspiration for future research The book is useful for both researchers in academia and professional engineers in industry because both theory and applications are discussed Although this is a research monograph, it will be an important text for postgraduate research students world-wide The largest market, however, will be academics, libraries and practicing engineers and scientists throughout the worldread more
Citations
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Journal ArticleDOI
A functional failure reasoning methodology for evaluation of conceptual system architectures
TL;DR: A new methodology for reasoning about the functional failures during early design of complex systems based on the notion that a failure happens when a functional element in the system does not perform its intended task is introduced.
Journal ArticleDOI
Integrated design of feedback controllers and fault detectors
TL;DR: This paper addresses the integrated design of controllers and fault detectors embedded in the feedback control loops with focus on the comparison between different design schemes and on the evaluation of the diagnostic performance.
Journal ArticleDOI
A robust deconvolution scheme for fault detection and isolation of uncertain linear systems: an LMI approach
TL;DR: Optimal H"~ deconvolution filter theory is exploited for the design of robust fault detection and isolation units for uncertain polytopic linear systems by means of the Projection Lemma, a quasi-convex formulation of the problem is obtained via LMIs.
Journal ArticleDOI
Adjusting Learning Rate of Memristor-Based Multilayer Neural Networks via Fuzzy Method
TL;DR: A novel circuit for implementing a synapse based on a memristor and two MOSFET tansistors and a fuzzy method for the adjustment of the learning rates of MNNs is developed, which increases the learning accuracy by 2%–3% compared with a constant learning rate.
References
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TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
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Fuzzy identification of systems and its applications to modeling and control
T. Takagi,Michio Sugeno +1 more
TL;DR: A mathematical tool to build a fuzzy model of a system where fuzzy implications and reasoning are used is presented and two applications of the method to industrial processes are discussed: a water cleaning process and a converter in a steel-making process.
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Linear Matrix Inequalities in System and Control Theory
TL;DR: In this paper, the authors present a brief history of LMIs in control theory and discuss some of the standard problems involved in LMIs, such as linear matrix inequalities, linear differential inequalities, and matrix problems with analytic solutions.
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The approximation of one matrix by another of lower rank
Carl Eckart,Gale Young +1 more
TL;DR: In this paper, the problem of approximating one matrix by another of lower rank is formulated as a least-squares problem, and the normal equations cannot be immediately written down, since the elements of the approximate matrix are not independent of one another.
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Paper: A survey of design methods for failure detection in dynamic systems
TL;DR: This paper surveys a number of methods for the detection of abrupt changes in stochastic dynamical systems, focusing on the class of linear systems, but the basic concepts carry over to other classes of systems.