Control And Filtering Of Fuzzy Systems With Switched Parameters

Download Control And Filtering Of Fuzzy Systems With Switched Parameters full books in PDF, epub, and Kindle. Read online Control And Filtering Of Fuzzy Systems With Switched Parameters ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Control and Filtering of Fuzzy Systems with Switched Parameters

Author : Shanling Dong
Publisher : Springer Nature
ISBN 13 : 3030355667
Total Pages : 220 pages
Book Rating : 4.0/5 (33 download)

DOWNLOAD NOW!

Book Synopsis Control and Filtering of Fuzzy Systems with Switched Parameters by : Shanling Dong

Download or read book Control and Filtering of Fuzzy Systems with Switched Parameters written by Shanling Dong and published by Springer Nature. This book was released on 2019-11-25 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent advances in control and filter design for Takagi-Sugeno (T-S) fuzzy systems with switched parameters. Thanks to its powerful ability in transforming complicated nonlinear systems into a set of linear subsystems, the T-S fuzzy model has received considerable attention from those the field of control science and engineering. Typical applications of T-S fuzzy systems include communication networks, and mechanical and power electronics systems. Practical systems often experience abrupt variations in their parameters or structures due to outside disturbances or component failures, and random switching mechanisms have been used to model these stochastic changes, such as the Markov jump principle. There are three general types of controller/filter for fuzzy Markov jump systems: mode-independent, mode-dependent and asynchronous. Mode-independence does not focus on whether modes are accessible and ignores partially useful mode information, which results in some conservatism. The mode-dependent design approach relies on timely, complete and correct information regarding the mode of the studied plant. Factors like component failures and data dropouts often make it difficult to obtain exact mode messages, which further make the mode-dependent controllers/filters less useful. Recently, to overcome these issues, researchers have focused on asynchronous techniques. Asynchronous modes are accessed by observing the original systems based on certain probabilities. The book investigates the problems associated with controller/filter design for all three types. It also considers various networked constraints, such as data dropouts and time delays, and analyzes the performances of the systems based on Lyapunov function and matrix inequality techniques, including the stochastic stability, dissipativity, and $H_\infty$. The book not only shows how these approaches solve the control and filtering problems effectively, but also offers potential meaningful research directions and ideas. Covering a variety of fields, including continuous-time and discrete-time Markov processes, fuzzy systems, robust control, and filter design problems, the book is primarily intended for researchers in system and control theory, and is also a valuable reference resource for graduate and undergraduate students. Further, it provides cases of fuzzy control problems that are of interest to scientists, engineers and researchers in the field of intelligent control. Lastly it is useful for advanced courses focusing on fuzzy modeling, analysis, and control.

Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems

Author : Xiaojie Su
Publisher : Springer Nature
ISBN 13 : 3030812146
Total Pages : 322 pages
Book Rating : 4.0/5 (38 download)

DOWNLOAD NOW!

Book Synopsis Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems by : Xiaojie Su

Download or read book Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems written by Xiaojie Su and published by Springer Nature. This book was released on 2021-08-17 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Control and Filtering of Fuzzy Systems Under Communication Channels

Author : Xiao-Heng Chang
Publisher : Springer Nature
ISBN 13 : 9819943469
Total Pages : 257 pages
Book Rating : 4.8/5 (199 download)

DOWNLOAD NOW!

Book Synopsis Control and Filtering of Fuzzy Systems Under Communication Channels by : Xiao-Heng Chang

Download or read book Control and Filtering of Fuzzy Systems Under Communication Channels written by Xiao-Heng Chang and published by Springer Nature. This book was released on 2023-12-02 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book systematically studies the feedback control and filtering problems for nonlinear plants with limited communication channels based on T-S fuzzy models. By fully considering different network-induced phenomena, such as signal quantizations, time-delays, data packet dropouts, communication protocols, cyber attacks, and so on, some significant strategies are provided for various performance analysis and different controller/filter synthesis of fuzzy systems. The event-triggered mechanism is also mentioned to save the communication resource. Moreover, some results are extended to the fault detection and fault-tolerant control. The book provides some new methodologies in analysis and synthesis of fuzzy systems under communication channels, and can serve as a valuable reference material for researchers wishing to explore the area of control and filtering of fuzzy systems and networked systems.

Fuzzy Control and Filter Design for Uncertain Fuzzy Systems

Author : Wudhichai Assawinchaichote
Publisher : Springer
ISBN 13 : 3540370129
Total Pages : 180 pages
Book Rating : 4.5/5 (43 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Control and Filter Design for Uncertain Fuzzy Systems by : Wudhichai Assawinchaichote

Download or read book Fuzzy Control and Filter Design for Uncertain Fuzzy Systems written by Wudhichai Assawinchaichote and published by Springer. This book was released on 2007-07-14 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most real physical systems are nonlinear in nature. Control and?ltering of nonlinear systems are still open problems due to their complexity natures. These problem becomes more complex when the system's parameters are - certain. A common approach to designing a controller/?lter for an uncertain nonlinear system is to linearize the system about an operating point, and uses linear control theory to design a controller/?lter. This approach is successful when the operating point of the system is restricted to a certain region. H- ever, when a wide range operation of the system is required, this method may fail. ThisbookpresentsnewnovelmethodologiesfordesigningrobustH fuzzy? controllers and robustH fuzzy?lters for a class of uncertain fuzzy systems? (UFSs), uncertain fuzzy Markovian jump systems (UFMJSs), uncertain fuzzy singularly perturbed systems (UFSPSs) and uncertain fuzzy singularly p- turbed systems with Markovian jumps (UFSPS-MJs). These new meth- ologies provide a framework for designing robustH fuzzy controllers and? robustH fuzzy?lters for these classes of systems based on a Tagaki-Sugeno? (TS) fuzzy model. Solutions to the design problems are presented in terms of linear matrix inequalities (LMIs). To investigate the design problems, we?rst describe a class of uncertain nonlinear systems (UNSs), uncertain nonlinear Markovianjumpsystems(UNMJSs), uncertainnonlinearsingularlyperturbed systems(UNSPSs)anduncertainnonlinearsingularlyperturbedsystemswith Markovian jumps (UNSPS-MJs) by a TS fuzzy system with parametric - certainties and with/without Markovian jumps. Then, based on an LMI - proach, we develop a technique for designing robustH fuzzy controllers and? robustH fuzzy?lters such that a given prescribed performance index is? guaranteed.

Fuzzy Logic

Author : Elmer Dadios
Publisher : BoD – Books on Demand
ISBN 13 : 9535103962
Total Pages : 432 pages
Book Rating : 4.5/5 (351 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Logic by : Elmer Dadios

Download or read book Fuzzy Logic written by Elmer Dadios and published by BoD – Books on Demand. This book was released on 2012-03-28 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces new concepts and theories of Fuzzy Logic Control for the application and development of robotics and intelligent machines. The book consists of nineteen chapters categorized into 1) Robotics and Electrical Machines 2) Intelligent Control Systems with various applications, and 3) New Fuzzy Logic Concepts and Theories. The intended readers of this book are engineers, researchers, and graduate students interested in fuzzy logic control systems.

Analysis and Synthesis of Fuzzy Control Systems

Author : Gang Feng
Publisher : CRC Press
ISBN 13 : 1420092650
Total Pages : 299 pages
Book Rating : 4.4/5 (2 download)

DOWNLOAD NOW!

Book Synopsis Analysis and Synthesis of Fuzzy Control Systems by : Gang Feng

Download or read book Analysis and Synthesis of Fuzzy Control Systems written by Gang Feng and published by CRC Press. This book was released on 2018-09-03 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy logic control (FLC) has proven to be a popular control methodology for many complex systems in industry, and is often used with great success as an alternative to conventional control techniques. However, because it is fundamentally model free, conventional FLC suffers from a lack of tools for systematic stability analysis and controller design. To address this problem, many model-based fuzzy control approaches have been developed, with the fuzzy dynamic model or the Takagi and Sugeno (T–S) fuzzy model-based approaches receiving the greatest attention. Analysis and Synthesis of Fuzzy Control Systems: A Model-Based Approach offers a unique reference devoted to the systematic analysis and synthesis of model-based fuzzy control systems. After giving a brief review of the varieties of FLC, including the T–S fuzzy model-based control, it fully explains the fundamental concepts of fuzzy sets, fuzzy logic, and fuzzy systems. This enables the book to be self-contained and provides a basis for later chapters, which cover: T–S fuzzy modeling and identification via nonlinear models or data Stability analysis of T–S fuzzy systems Stabilization controller synthesis as well as robust H∞ and observer and output feedback controller synthesis Robust controller synthesis of uncertain T–S fuzzy systems Time-delay T–S fuzzy systems Fuzzy model predictive control Robust fuzzy filtering Adaptive control of T–S fuzzy systems A reference for scientists and engineers in systems and control, the book also serves the needs of graduate students exploring fuzzy logic control. It readily demonstrates that conventional control technology and fuzzy logic control can be elegantly combined and further developed so that disadvantages of conventional FLC can be avoided and the horizon of conventional control technology greatly extended. Many chapters feature application simulation examples and practical numerical examples based on MATLAB®.

Fuzzy Modeling and Fuzzy Control

Author : Huaguang Zhang
Publisher : Springer Science & Business Media
ISBN 13 : 081764539X
Total Pages : 423 pages
Book Rating : 4.8/5 (176 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Modeling and Fuzzy Control by : Huaguang Zhang

Download or read book Fuzzy Modeling and Fuzzy Control written by Huaguang Zhang and published by Springer Science & Business Media. This book was released on 2007-10-17 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy logic methodology has proven effective in dealing with complex nonlinear systems containing uncertainties that are otherwise difficult to model. Technology based on this methodology is applicable to many real-world problems, especially in the area of consumer products. This book presents the first comprehensive, unified treatment of fuzzy modeling and fuzzy control, providing tools for the control of complex nonlinear systems. Coverage includes model complexity, model precision, and computing time. This is an excellent reference for electrical, computer, chemical, industrial, civil, manufacturing, mechanical and aeronautical engineers, and also useful for graduate courses in electrical engineering, computer engineering, and computer science.

Fuzzy Systems

Author : Ahmad Taher Azar
Publisher : BoD – Books on Demand
ISBN 13 : 9537619923
Total Pages : 230 pages
Book Rating : 4.5/5 (376 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Systems by : Ahmad Taher Azar

Download or read book Fuzzy Systems written by Ahmad Taher Azar and published by BoD – Books on Demand. This book was released on 2010-02-01 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: While several books are available today that address the mathematical and philosophical foundations of fuzzy logic, none, unfortunately, provides the practicing knowledge engineer, system analyst, and project manager with specific, practical information about fuzzy system modeling. Those few books that include applications and case studies concentrate almost exclusively on engineering problems: pendulum balancing, truck backeruppers, cement kilns, antilock braking systems, image pattern recognition, and digital signal processing. Yet the application of fuzzy logic to engineering problems represents only a fraction of its real potential. As a method of encoding and using human knowledge in a form that is very close to the way experts think about difficult, complex problems, fuzzy systems provide the facilities necessary to break through the computational bottlenecks associated with traditional decision support and expert systems. Additionally, fuzzy systems provide a rich and robust method of building systems that include multiple conflicting, cooperating, and collaborating experts (a capability that generally eludes not only symbolic expert system users but analysts who have turned to such related technologies as neural networks and genetic algorithms). Yet the application of fuzzy logic in the areas of decision support, medical systems, database analysis and mining has been largely ignored by both the commercial vendors of decision support products and the knowledge engineers who use them.

New Applications and Developments of Fuzzy Systems

Author : Ibrahim A. Hameed
Publisher : GRIN Verlag
ISBN 13 : 3656152934
Total Pages : 105 pages
Book Rating : 4.6/5 (561 download)

DOWNLOAD NOW!

Book Synopsis New Applications and Developments of Fuzzy Systems by : Ibrahim A. Hameed

Download or read book New Applications and Developments of Fuzzy Systems written by Ibrahim A. Hameed and published by GRIN Verlag. This book was released on 2012-03-19 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: Doctoral Thesis / Dissertation from the year 2010 in the subject Computer Sciences - Artificial Intelligence, grade: PhD, Korea University, Seoul (College of Engineering - Dept of Industrial Systems and Information Engineering), course: Intelligence Control and Artificial Intelligence, language: English, abstract: Fuzzy Logic (FL) is a particular area of interest in the study of Artificial intelligence (AI) based on the idea that in fuzzy sets each element in the set can assume a value from 0 to 1, not just 0 or 1, as in classic or crisp set theory. The gradation in the extent to which an element is belonging to the relevant sets is called the degree of membership. This degree of membership is a measure of the element's belonging to the set, and thus of the precision with which it explains the phenomenon being evaluated. A linguistic expression is given to each fuzzy set. The information contents of the fuzzy rules are then used to infer the output using a suitable inference engine. The key contribution of fuzzy logic in computation of information described in natural language made it applicable to a variety of applications and problem domains; from simple control systems to human decision support systems. Yet, despite its long-standing origins, it is a relatively new field, and as such leaves much room for development. The thesis presents two novel applications of fuzzy systems; a human decision support system to help teachers to fairly evaluate students and two hybrid intelligent fuzzy systems; a type-2 fuzzy logic system and a combined type-1 fuzzy logic system and extended Kalamn filter for controlling systems operating under high levels of uncertainties due to various sources of measurement and modeling errors. The combination of fuzzy logic and the classical student evaluation approach produces easy to understand transparent decision model that can be easily understood by students and teachers alike. The developed architecture overcomes the problem of ranking

Adaptive Fuzzy Systems and Control

Author : Li-Xin Wang
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 262 pages
Book Rating : 4.F/5 ( download)

DOWNLOAD NOW!

Book Synopsis Adaptive Fuzzy Systems and Control by : Li-Xin Wang

Download or read book Adaptive Fuzzy Systems and Control written by Li-Xin Wang and published by Prentice Hall. This book was released on 1994 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume develops a variety of adaptive fuzzy systems and applies them to a variety of engineering problems. It summarizes the state-of-the-art methods for automatic tuning of the parameters and structures of fuzzy logic systems.

Fuzzy Modeling and Control: Theory and Applications

Author : Fernando Matía
Publisher : Springer
ISBN 13 : 9462390827
Total Pages : 291 pages
Book Rating : 4.4/5 (623 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Modeling and Control: Theory and Applications by : Fernando Matía

Download or read book Fuzzy Modeling and Control: Theory and Applications written by Fernando Matía and published by Springer. This book was released on 2014-08-14 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Much work on fuzzy control, covering research, development and applications, has been developed in Europe since the 90's. Nevertheless, the existing books in the field are compilations of articles without interconnection or logical structure or they express the personal point of view of the author. This book compiles the developments of researchers with demonstrated experience in the field of fuzzy control following a logic structure and a unified the style. The first chapters of the book are dedicated to the introduction of the main fuzzy logic techniques, where the following chapters focus on concrete applications. This book is supported by the EUSFLAT and CEA-IFAC societies, which include a large number of researchers in the field of fuzzy logic and control. The central topic of the book, Fuzzy Control, is one of the main research and development lines covered by these associations.

Fuzzy Control, Estimation and Diagnosis

Author : Magdi S. Mahmoud
Publisher : Springer
ISBN 13 : 3319549545
Total Pages : 704 pages
Book Rating : 4.3/5 (195 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Control, Estimation and Diagnosis by : Magdi S. Mahmoud

Download or read book Fuzzy Control, Estimation and Diagnosis written by Magdi S. Mahmoud and published by Springer. This book was released on 2017-06-15 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook explains the principles of fuzzy systems in some depth together with information useful in realizing them within computational processes. The various algorithms and example problem solutions are a well-balanced and pertinent aid for research projects, laboratory work and graduate study. In addition to its worked examples, the book also uses end-of-chapter exercises as an instructional aid. The content of the book is developed and extended from material taught for four years in the author’s classes. The text provides a broad overview of fuzzy control, estimation and fault diagnosis. It ranges over various classes of target system and modes of control and then turns to filtering, stabilization, and fault detection and diagnosis. Applications, simulation tools and an appendix on algebraic inequalities complete a unified approach to the analysis of single and interconnected fuzzy systems. Fuzzy Control, Estimation and Fault Detection is a guide for final-year undergraduate and graduate students of electrical and mechanical engineering, computer science and information technology, and will also be instructive for professionals in the information technology sector.

State Estimation and Stabilization of Nonlinear Systems

Author : Abdellatif Ben Makhlouf
Publisher : Springer Nature
ISBN 13 : 3031379705
Total Pages : 439 pages
Book Rating : 4.0/5 (313 download)

DOWNLOAD NOW!

Book Synopsis State Estimation and Stabilization of Nonlinear Systems by : Abdellatif Ben Makhlouf

Download or read book State Estimation and Stabilization of Nonlinear Systems written by Abdellatif Ben Makhlouf and published by Springer Nature. This book was released on 2023-11-06 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the separation principle which is also known as the principle of separation of estimation and control and states that, under certain assumptions, the problem of designing an optimal feedback controller for a stochastic system can be solved by designing an optimal observer for the system's state, which feeds into an optimal deterministic controller for the system. Thus, the problem may be divided into two halves, which simplifies its design. In the context of deterministic linear systems, the first instance of this principle is that if a stable observer and stable state feedback are built for a linear time-invariant system (LTI system hereafter), then the combined observer and feedback are stable. The separation principle does not true for nonlinear systems in general. Another instance of the separation principle occurs in the context of linear stochastic systems, namely that an optimum state feedback controller intended to minimize a quadratic cost is optimal for the stochastic control problem with output measurements. The ideal solution consists of a Kalman filter and a linear-quadratic regulator when both process and observation noise are Gaussian. The term for this is linear-quadratic-Gaussian control. More generally, given acceptable conditions and when the noise is a martingale (with potential leaps), a separation principle, also known as the separation principle in stochastic control, applies when the noise is a martingale (with possible jumps).

Control and Nonlinear Dynamics on Energy Conversion Systems

Author : Herbert Ho-Ching Iu
Publisher : MDPI
ISBN 13 : 3039211102
Total Pages : 435 pages
Book Rating : 4.0/5 (392 download)

DOWNLOAD NOW!

Book Synopsis Control and Nonlinear Dynamics on Energy Conversion Systems by : Herbert Ho-Ching Iu

Download or read book Control and Nonlinear Dynamics on Energy Conversion Systems written by Herbert Ho-Ching Iu and published by MDPI. This book was released on 2019-07-01 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ever-increasing need for higher efficiency, smaller size, and lower cost make the analysis, understanding, and design of energy conversion systems extremely important, interesting, and even imperative. One of the most neglected features in the study of such systems is the effect of the inherent nonlinearities on the stability of the system. Due to these nonlinearities, these devices may exhibit undesirable and complex dynamics, which are the focus of many researchers. Even though a lot of research has taken place in this area during the last 20 years, it is still an active research topic for mainstream power engineers. This research has demonstrated that these systems can become unstable with a direct result in increased losses, extra subharmonics, and even uncontrollability/unobservability. The detailed study of these systems can help in the design of smaller, lighter, and less expensive converters that are particularly important in emerging areas of research like electric vehicles, smart grids, renewable energy sources, and others. The aim of this Special Issue is to cover control and nonlinear aspects of instabilities in different energy conversion systems: theoretical, analysis modelling, and practical solutions for such emerging applications. In this Special Issue, we present novel research works in different areas of the control and nonlinear dynamics of energy conversion systems.

Fault-Tolerant Control for Time-Varying Delayed T-S Fuzzy Systems

Author : Shaoxin Sun
Publisher : Springer Nature
ISBN 13 : 9819913578
Total Pages : 230 pages
Book Rating : 4.8/5 (199 download)

DOWNLOAD NOW!

Book Synopsis Fault-Tolerant Control for Time-Varying Delayed T-S Fuzzy Systems by : Shaoxin Sun

Download or read book Fault-Tolerant Control for Time-Varying Delayed T-S Fuzzy Systems written by Shaoxin Sun and published by Springer Nature. This book was released on 2023-06-16 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Multi-model Jumping Systems: Robust Filtering and Fault Detection

Author : Shuping He
Publisher : Springer Nature
ISBN 13 : 9813364742
Total Pages : 188 pages
Book Rating : 4.8/5 (133 download)

DOWNLOAD NOW!

Book Synopsis Multi-model Jumping Systems: Robust Filtering and Fault Detection by : Shuping He

Download or read book Multi-model Jumping Systems: Robust Filtering and Fault Detection written by Shuping He and published by Springer Nature. This book was released on 2021-03-01 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Fuzzy Control

Author : Rainer Hampel
Publisher : Springer Science & Business Media
ISBN 13 : 3790818410
Total Pages : 413 pages
Book Rating : 4.7/5 (98 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Control by : Rainer Hampel

Download or read book Fuzzy Control written by Rainer Hampel and published by Springer Science & Business Media. This book was released on 2013-06-02 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present edited volume is of special importance, and for various reasons. First of all, it is one of the most comprehensive and multifaceted coverage of broadly per ceived fuzzy control in the literature. The editors have succeeded to collect papers from leading scholars and researchers on various subjects related to the topic of the volume. What is relevant and original is that - as opposed to so many volumes on fuzzy control published by virtually all major publishing houses that are strongly technically oriented and covering a narrow spectrum of issues relevant to fuzzy con trol itself - the editors have adopted a more general and far sighted approach. Basically, the perspective assumed in the volume is that though fuzzy control has reached such a level of maturity and implementability that it has become a part of in dustrial practice, science and academic research still have a relevant role to play in this area. One should however take into account that by their very nature, the role of science and academic research is very peculiar and going beyond straightforward ap plications, ad hoc solutions, "quick and dirty" tools and techniques, etc. that are usu ally effective and efficient for solving practical problems. This does not mean that as pects of practical implementations should not be accounted for by scholars and re searchers.