Fault-tolerant Control and Diagnosis for Integer and Fractional-order Systems

Download or Read eBook Fault-tolerant Control and Diagnosis for Integer and Fractional-order Systems PDF written by Rafael Martínez-Guerra and published by Springer Nature. This book was released on 2020-12-14 with total page 192 pages. Available in PDF, EPUB and Kindle.
Fault-tolerant Control and Diagnosis for Integer and Fractional-order Systems
Author :
Publisher : Springer Nature
Total Pages : 192
Release :
ISBN-10 : 9783030620943
ISBN-13 : 3030620948
Rating : 4/5 (43 Downloads)

Book Synopsis Fault-tolerant Control and Diagnosis for Integer and Fractional-order Systems by : Rafael Martínez-Guerra

Book excerpt: This book is about algebraic and differential methods, as well as fractional calculus, applied to diagnose and reject faults in nonlinear systems, which are of integer or fractional order. This represents an extension of a very important and widely studied problem in control theory, namely fault diagnosis and rejection (using differential algebraic approaches), to systems presenting fractional dynamics, i.e. systems whose dynamics are represented by derivatives and integrals of non-integer order. The authors offer a thorough overview devoted to fault diagnosis and fault-tolerant control applied to fractional-order and integer-order dynamical systems, and they introduce new methodologies for control and observation described by fractional and integer models, together with successful simulations and real-time applications. The basic concepts and tools of mathematics required to understand the methodologies proposed are all clearly introduced and explained. Consequently, the book is useful as supplementary reading in courses of applied mathematics and nonlinear control theory. This book is meant for engineers, mathematicians, physicists and, in general, to researchers and postgraduate students in diverse areas who have a minimum knowledge of calculus. It also contains advanced topics for researchers and professionals interested in the area of states and faults estimation.


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