Krzysztof Patan's Books

Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes

By: Krzysztof Patan

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Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes

By: Krzysztof Patan

An unappealing characteristic of all real-world systems is the fact that they are vulnerable to faults, malfunctions and, more generally, unexpected modes of - haviour. This explains why there is a continuous need for reliable and universal monitoring systems based on suitable and e?ective fault diagnosis strategies. This is especially true for engineering systems,whose complexity is permanently growing due to the inevitable development of modern industry as well as the information and communication technology revolution. Indeed, the design and operation of engineering systems require an increased attention with respect to availability, reliability, safety and fault tolerance. Thus, it is natural that fault diagnosis plays a fundamental role in modern control theory and practice. This is re?ected in plenty of papers on fault diagnosis in many control-oriented c- ferencesand journals.Indeed, a largeamount of knowledgeon model basedfault diagnosis has been accumulated through scienti?c literature since the beginning of the 1970s. As a result, a wide spectrum of fault diagnosis techniques have been developed. A major category of fault diagnosis techniques is the model based one, where an analytical model of the plant to be monitored is assumed to be available.

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Page Count

223

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Springer Science & Business Media

Published Date

ISBN 10

3540798714

ISBN 13

9783540798712

Robust and Fault-Tolerant Control

Neural-Network-Based Solutions

By: Krzysztof Patan

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Robust and Fault-Tolerant Control

Neural-Network-Based Solutions

By: Krzysztof Patan

Robust and Fault-Tolerant Control proposes novel automatic control strategies for nonlinear systems developed by means of artificial neural networks and pays special attention to robust and fault-tolerant approaches. The book discusses robustness and fault tolerance in the context of model predictive control, fault accommodation and reconfiguration, and iterative learning control strategies. Expanding on its theoretical deliberations the monograph includes many case studies demonstrating how the proposed approaches work in practice. The most important features of the book include: a comprehensive review of neural network architectures with possible applications in system modelling and control; a concise introduction to robust and fault-tolerant control; step-by-step presentation of the control approaches proposed; an abundance of case studies illustrating the important steps in designing robust and fault-tolerant control; and a large number of figures and tables facilitating the performance analysis of the control approaches described. The material presented in this book will be useful for researchers and engineers who wish to avoid spending excessive time in searching neural-network-based control solutions. It is written for electrical, computer science and automatic control engineers interested in control theory and their applications. This monograph will also interest postgraduate students engaged in self-study of nonlinear robust and fault-tolerant control.

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Page Count

231

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Springer

Published Date

ISBN 10

303011869X

ISBN 13

9783030118693

Modeling and Analysis of Linear Hyperbolic Systems of Balance Laws

By: Krzysztof Bartecki

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Modeling and Analysis of Linear Hyperbolic Systems of Balance Laws

By: Krzysztof Bartecki

This monograph focuses on the mathematical modeling of distributed parameter systems in which mass/energy transport or wave propagation phenomena occur and which are described by partial differential equations of hyperbolic type. The case of linear (or linearized) 2 x 2 hyperbolic systems of balance laws is considered, i.e., systems described by two coupled linear partial differential equations with two variables representing physical quantities, depending on both time and one-dimensional spatial variable. Based on practical examples of a double-pipe heat exchanger and a transportation pipeline, two typical configurations of boundary input signals are analyzed: collocated, wherein both signals affect the system at the same spatial point, and anti-collocated, in which the input signals are applied to the two different end points of the system. The results of this book emerge from the practical experience of the author gained during his studies conducted in the experimental installation of a heat exchange center as well as from his research experience in the field of mathematical and computer modeling of dynamic systems. The book presents valuable results concerning their state-space, transfer function and time-domain representations, which can be useful both for the open-loop analysis as well as for the closed-loop design. The book is primarily intended to help professionals as well as undergraduate and postgraduate students involved in modeling and automatic control of dynamic systems.

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Page Count

165

Publisher

Springer

Published Date

ISBN 10

3319275011

ISBN 13

9783319275017

Design of Interpretable Fuzzy Systems

By: Krzysztof Cpałka

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Design of Interpretable Fuzzy Systems

By: Krzysztof Cpałka

This book shows that the term “interpretability” goes far beyond the concept of readability of a fuzzy set and fuzzy rules. It focuses on novel and precise operators of aggregation, inference, and defuzzification leading to flexible Mamdani-type and logical-type systems that can achieve the required accuracy using a less complex rule base. The individual chapters describe various aspects of interpretability, including appropriate selection of the structure of a fuzzy system, focusing on improving the interpretability of fuzzy systems designed using both gradient-learning and evolutionary algorithms. It also demonstrates how to eliminate various system components, such as inputs, rules and fuzzy sets, whose reduction does not adversely affect system accuracy. It illustrates the performance of the developed algorithms and methods with commonly used benchmarks. The book provides valuable tools for possible applications in many fields including expert systems, automatic control and robotics.

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Page Count

203

Publisher

Springer

Published Date

ISBN 10

3319528815

ISBN 13

9783319528816

Robust and Fault-Tolerant Control

Neural-Network-Based Solutions

By: Krzysztof Patan

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Robust and Fault-Tolerant Control

Neural-Network-Based Solutions

By: Krzysztof Patan

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Page Count

231

Publisher

Springer

Published Date

ISBN 10

303011869X

ISBN 13

9783030118693

Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes

By: Krzysztof Patan

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Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes

By: Krzysztof Patan

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Solve jigsaw puzzle

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Page Count

223

Publisher

Springer

Published Date

ISBN 10

3540798722

ISBN 13

9783540798729

Book's by Krzysztof Patan

Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes

Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes

Robust and Fault-Tolerant Control

Robust and Fault-Tolerant Control

Modeling and Analysis of Linear Hyperbolic Systems of Balance Laws

Modeling and Analysis of Linear Hyperbolic Systems of Balance Laws

Design of Interpretable Fuzzy Systems

Design of Interpretable Fuzzy Systems

Robust and Fault-Tolerant Control

Robust and Fault-Tolerant Control

Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes

Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes

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