Fault Tolerant Control For Time Varying Delayed T S Fuzzy Systems
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Fault Tolerant Control For Time Varying Delayed T S Fuzzy Systems
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Author : Shaoxin Sun
language : en
Publisher: Springer Nature
Release Date : 2023-05-15
Fault Tolerant Control For Time Varying Delayed T S Fuzzy Systems written by Shaoxin Sun and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-15 with Technology & Engineering categories.
This book delves into the complexities of fault estimation and fault-tolerant control for nonlinear time-delayed systems. Through the use of multiple-integral observers, it addresses fault estimation and active fault-tolerant control for time-delayed fuzzy systems with actuator faults and both actuator and sensor faults. Additionally, the book explores the use of sliding mode control to solve issues of sensor fault estimation, intermittent actuator fault estimation, and active fault-tolerant control for time-delayed switched fuzzy systems. Furthermore, it presents the use of H∞ guaranteed cost control for both time-delayed switched fuzzy systems and time-delayed switched fuzzy stochastic systems with intermittent actuator and sensor faults. Finally, the problem of delay-dependent finite-time fault-tolerant control for uncertain switched T-S fuzzy systems with multiple time-varying delays, intermittent process faults and intermittent sensor faults is studied. The research on fault estimation and tolerant control has drawn attention from engineers and scientists in various fields such as electrical, mechanical, aerospace, chemical, and nuclear engineering. The book provides a comprehensive framework for this topic, placing a strong emphasis on the importance of stability analysis and the impact of result conservatism on the design and implementation of observers and controllers. It is intended for undergraduate and graduate students interested in fault diagnosis and tolerant control technology, researchers studying time-varying delayed T-S fuzzy systems, and observer/controller design engineers working on system stability applications.
Robust Filtering And Fault Detection For T S Fuzzy Systems
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Author : Xiao-Lei Wang
language : en
Publisher: Springer Nature
Release Date : 2025-05-31
Robust Filtering And Fault Detection For T S Fuzzy Systems written by Xiao-Lei Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-31 with Technology & Engineering categories.
This book conducts an in-depth research on robust filtering and fault detection for a class of T-S fuzzy systems. On the basis of the existing research on T-S fuzzy theory, robust filtering theory, and fault diagnosis theory, some new and effective technologies are proposed to solve the problems of robust filtering and fault detection for a class T-S fuzzy systems, while overcoming the shortcomings and limitations of the existing solutions. This book introduces new design solutions for a class of T-S fuzzy systems to address the existing problems in the research of robust filtering and fault detection, namely 1) two new filtering methods are explored to obtain better filtering results than the existing approaches; 2) a new event-triggered filtering scheme is proposed for T-S fuzzy systems with bounded disturbances, which realizes that the designed observer gains in the absence of event-triggered mechanisms are also applicable to the case with event-triggered mechanisms; 3) two new methods are constructed to deal with the asynchronous problems of premise variables effectively, which overcome the defects and limitations of the existing ones; and 4) an effective fault detection scheme for handling measurement outliers is constructed, which can avoid the occurrence of false alarms. This book is intended to inspire researchers and engineers, offering deeper insights into robust filtering and fault detection for T-S fuzzy systems, and equipping them with the latest advancements in fuzzy system theory, robust filtering, and fault diagnosis. It also provides valuable theoretical references for engineers tackling practical engineering problems.
Observer Based Fault Diagnosis And Fault Tolerant Control For Switched Systems
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Author : Dongsheng Du
language : en
Publisher: Springer Nature
Release Date : 2020-10-21
Observer Based Fault Diagnosis And Fault Tolerant Control For Switched Systems written by Dongsheng Du and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-21 with Technology & Engineering categories.
This book focuses on the fault diagnosis observer design for the switched system. Model-based fault diagnosis and fault tolerant control are one of the most popular research directions in recent decades. It contains eight chapters. Every chapter is independent in the method of observer design, but all chapters are around the same topic. Besides, in each chapter, the model description and theoretical results are firstly provided, then some practical application examples are illustrated to prove the obtained results. The advanced theoretical methodologies will benefit researchers or engineers in the area of safety engineering and the arrangement of the structure will help the readers to understand the content easily.
Fuzzy Control Systems With Time Delay And Stochastic Perturbation
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Author : Ligang Wu
language : en
Publisher: Springer
Release Date : 2014-10-17
Fuzzy Control Systems With Time Delay And Stochastic Perturbation written by Ligang Wu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-17 with Technology & Engineering categories.
This book presents up-to-date research developments and novel methodologies on fuzzy control systems. It presents solutions to a series of problems with new approaches for the analysis and synthesis of fuzzy time-delay systems and fuzzy stochastic systems, including stability analysis and stabilization, dynamic output feedback control, robust filter design, and model approximation. A set of newly developed techniques such as fuzzy Lyapunov function approach, delay-partitioning, reciprocally convex, cone complementary linearization approach are presented. Fuzzy Control Systems with Time-Delay and Stochastic Perturbation: Analysis and Synthesis is a comprehensive reference for researcher and practitioners working in control engineering, system sciences and applied mathematics, and is also a useful source of information for senior undergraduates and graduates in these areas. The readers will benefit from some new concepts, new models and new methodologies with practical significance in control engineering and signal processing.
Dual Control Design
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Author : Péter Baranyi
language : en
Publisher: Springer Nature
Release Date : 2023-11-18
Dual Control Design written by Péter Baranyi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-18 with Computers categories.
The TP and TS Fuzzy model transformation based control design has revolutionized the field of control design by introducing a highly effective approach. Through the TP model transformation, it has become evident that the design of controllers and observers, as well as the effectiveness of applied LMIs, are greatly influenced by the shape of the antecedent Fuzzy sets and the number and location of the consequent systems. Furthermore, the TP model transformation has revealed that the sensitivity of controller and observer design differs in nature. This implies that the overseer and controller design require different TS Fuzzy model representations of the system at hand. This book offers a comprehensive exploration of this phenomenon. The book introduces several new theoretical advancements in the TP or TS Fuzzy model transformation based control design framework. It presents a complete framework for TP and TS Fuzzy model transformation and offers various tools based on this approach to enhance control design effectiveness. The book introduces novel theoretical concepts, such as interpolation between alternative TS Fuzzy model representations, which leads to a new optimization framework. It also explores methods to achieve further complexity reduction beyond rank minimization. Additionally, the book addresses the execution of TS Fuzzy model transformation for large-sized problems and demonstrates how to reinforce various properties of antecedent Fuzzy sets through manipulation. Practical hints and guidance for control design is provided throughout the book, with examples illustrating the application of novel solutions. Matlab codes are also included to facilitate the implementation of the proposed methods.
Recent Developments In Model Based And Data Driven Methods For Advanced Control And Diagnosis
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Author : Didier Theilliol
language : en
Publisher: Springer Nature
Release Date : 2023-07-15
Recent Developments In Model Based And Data Driven Methods For Advanced Control And Diagnosis written by Didier Theilliol and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-15 with Technology & Engineering categories.
The book consists of recent works on several axes either with a more theoretical nature or with a focus on applications, which will span a variety of up-to-date topics in the field of systems and control. The main market area of the contributions include: Advanced fault-tolerant control, control reconfiguration, health monitoring techniques for industrial systems, data-driven diagnosis methods, process supervision, diagnosis and control of discrete-event systems, maintenance and repair strategies, statistical methods for fault diagnosis, reliability and safety of industrial systems artificial intelligence methods for control and diagnosis, health-aware control design strategies, advanced control approaches, deep learning-based methods for control and diagnosis, reinforcement learning-based approaches for advanced control, diagnosis and prognosis techniques applied to industrial problems, Industry 4.0 as well as instrumentation and sensors. These works constitute advances in the aforementioned scientific fields and will be used by graduate as well as doctoral students along with established researchers to update themselves with the state of the art and recent advances in their respective fields. As the book includes several applicative studies with several multi-disciplinary contributions (deep learning, reinforcement learning, model-based/data-based control etc.), the book proves to be equally useful for the practitioners as well industrial professionals.
Analysis And Synthesis For Interval Type 2 Fuzzy Model Based Systems
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Author : Hongyi Li
language : en
Publisher: Springer
Release Date : 2016-02-29
Analysis And Synthesis For Interval Type 2 Fuzzy Model Based Systems written by Hongyi Li and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-29 with Technology & Engineering categories.
This book develops a set of reference methods capable of modeling uncertainties existing in membership functions, and analyzing and synthesizing the interval type-2 fuzzy systems with desired performances. It also provides numerous simulation results for various examples, which fill certain gaps in this area of research and may serve as benchmark solutions for the readers. Interval type-2 T-S fuzzy models provide a convenient and flexible method for analysis and synthesis of complex nonlinear systems with uncertainties.
Intelligent Control And Applications For Robotics
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Author : Yimin Zhou
language : en
Publisher: Frontiers Media SA
Release Date : 2022-09-28
Intelligent Control And Applications For Robotics written by Yimin Zhou and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-28 with Science categories.
Recent Advances In Control Problems Of Dynamical Systems And Networks
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Author : Ju H. Park
language : en
Publisher: Springer Nature
Release Date : 2020-08-11
Recent Advances In Control Problems Of Dynamical Systems And Networks written by Ju H. Park and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-11 with Technology & Engineering categories.
This edited book introduces readers to new analytical techniques and controller design schemes used to solve the emerging “hottest” problems in dynamic control systems and networks. In recent years, the study of dynamic systems and networks has faced major changes and challenges with the rapid advancement of IT technology, accompanied by the 4th Industrial Revolution. Many new factors that now have to be considered, and which haven’t been addressed from control engineering perspectives to date, are naturally emerging as the systems become more complex and networked. The general scope of this book includes the modeling of the system itself and uncertainty elements, examining stability under various criteria, and controller design techniques to achieve specific control objectives in various dynamic systems and networks. In terms of traditional stability matters, this includes the following special issues: finite-time stability and stabilization, consensus/synchronization, fault-tolerant control, event-triggered control, and sampled-data control for classical linear/nonlinear systems, interconnected systems, fractional-order systems, switched systems, neural networks, and complex networks. In terms of introducing graduate students and professional researchers studying control engineering and applied mathematics to the latest research trends in the areas mentioned above, this book offers an excellent guide.
Intelligent Control Filtering And Model Reduction Analysis For Fuzzy Model Based Systems
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Author : Xiaojie Su
language : en
Publisher: Springer Nature
Release Date : 2021-08-17
Intelligent Control Filtering And Model Reduction Analysis For Fuzzy Model Based Systems written by Xiaojie Su and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-17 with Technology & Engineering categories.
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.