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Fuzzy Neural Networks For Real Time Control Applications

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Fuzzy Neural Networks for Real Time Control Applications

Fuzzy Neural Networks for Real Time Control Applications Book
Author : Erdal Kayacan,Mojtaba Ahmadieh Khanesar
Publisher : Butterworth-Heinemann
Release : 2015-10-07
ISBN : 0128027037
Language : En, Es, Fr & De

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Book Description :

AN INDISPENSABLE RESOURCE FOR ALL THOSE WHO DESIGN AND IMPLEMENT TYPE-1 AND TYPE-2 FUZZY NEURAL NETWORKS IN REAL TIME SYSTEMS Delve into the type-2 fuzzy logic systems and become engrossed in the parameter update algorithms for type-1 and type-2 fuzzy neural networks and their stability analysis with this book! Not only does this book stand apart from others in its focus but also in its application-based presentation style. Prepared in a way that can be easily understood by those who are experienced and inexperienced in this field. Readers can benefit from the computer source codes for both identification and control purposes which are given at the end of the book. A clear and an in-depth examination has been made of all the necessary mathematical foundations, type-1 and type-2 fuzzy neural network structures and their learning algorithms as well as their stability analysis. You will find that each chapter is devoted to a different learning algorithm for the tuning of type-1 and type-2 fuzzy neural networks; some of which are: • Gradient descent • Levenberg-Marquardt • Extended Kalman filter In addition to the aforementioned conventional learning methods above, number of novel sliding mode control theory-based learning algorithms, which are simpler and have closed forms, and their stability analysis have been proposed. Furthermore, hybrid methods consisting of particle swarm optimization and sliding mode control theory-based algorithms have also been introduced. The potential readers of this book are expected to be the undergraduate and graduate students, engineers, mathematicians and computer scientists. Not only can this book be used as a reference source for a scientist who is interested in fuzzy neural networks and their real-time implementations but also as a course book of fuzzy neural networks or artificial intelligence in master or doctorate university studies. We hope that this book will serve its main purpose successfully. Parameter update algorithms for type-1 and type-2 fuzzy neural networks and their stability analysis Contains algorithms that are applicable to real time systems Introduces fast and simple adaptation rules for type-1 and type-2 fuzzy neural networks Number of case studies both in identification and control Provides MATLAB® codes for some algorithms in the book

Fuzzy Neural Networks for Real Time Control Applications

Fuzzy Neural Networks for Real Time Control Applications Book
Author : Erdal Kayacan,Mojtaba Ahmadieh Khanesar
Publisher : Butterworth-Heinemann
Release : 2015-09-17
ISBN : 9780128026878
Language : En, Es, Fr & De

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Book Description :

AN INDISPENSABLE RESOURCE FOR ALL THOSE WHO DESIGN AND IMPLEMENT TYPE-1 AND TYPE-2 FUZZY NEURAL NETWORKS IN REAL TIME SYSTEMS Delve into the type-2 fuzzy logic systems and become engrossed in the parameter update algorithms for type-1 and type-2 fuzzy neural networks and their stability analysis with this book! Not only does this book stand apart from others in its focus but also in its application-based presentation style. Prepared in a way that can be easily understood by those who are experienced and inexperienced in this field. Readers can benefit from the computer source codes for both identification and control purposes which are given at the end of the book. A clear and an in-depth examination has been made of all the necessary mathematical foundations, type-1 and type-2 fuzzy neural network structures and their learning algorithms as well as their stability analysis. You will find that each chapter is devoted to a different learning algorithm for the tuning of type-1 and type-2 fuzzy neural networks; some of which are: . Gradient descent . Levenberg-Marquardt . Extended Kalman filter In addition to the aforementioned conventional learning methods above, number of novel sliding mode control theory-based learning algorithms, which are simpler and have closed forms, and their stability analysis have been proposed. Furthermore, hybrid methods consisting of particle swarm optimization and sliding mode control theory-based algorithms have also been introduced. The potential readers of this book are expected to be the undergraduate and graduate students, engineers, mathematicians and computer scientists. Not only can this book be used as a reference source for a scientist who is interested in fuzzy neural networks and their real-time implementations but also as a course book of fuzzy neural networks or artificial intelligence in master or doctorate university studies. We hope that this book will serve its main purpose successfully. Parameter update algorithms for type-1 and type-2 fuzzy neural networks and their stability analysis Contains algorithms that are applicable to real time systems Introduces fast and simple adaptation rules for type-1 and type-2 fuzzy neural networks Number of case studies both in identification and control Provides MATLAB® codes for some algorithms in the book

Design of Interpretable Fuzzy Systems

Design of Interpretable Fuzzy Systems Book
Author : Krzysztof Cpałka
Publisher : Springer
Release : 2017-01-31
ISBN : 3319528815
Language : En, Es, Fr & De

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Book Description :

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.

New Advances at the Intersection of Brain Inspired Learning and Deep Learning in Autonomous Vehicles and Robotics

New Advances at the Intersection of Brain Inspired Learning and Deep Learning in Autonomous Vehicles and Robotics Book
Author : Guang Chen,Pascual Campoy,Changhong Fu,Caixia Cai
Publisher : Frontiers Media SA
Release : 2020-09-02
ISBN : 2889639711
Language : En, Es, Fr & De

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Book Description :

Download New Advances at the Intersection of Brain Inspired Learning and Deep Learning in Autonomous Vehicles and Robotics book written by Guang Chen,Pascual Campoy,Changhong Fu,Caixia Cai, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Biologically Inspired Cognitive Architectures 2018

Biologically Inspired Cognitive Architectures 2018 Book
Author : Alexei V. Samsonovich
Publisher : Springer
Release : 2018-08-23
ISBN : 331999316X
Language : En, Es, Fr & De

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Book Description :

The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, from classical artificial intelligence to linguistics, from neuro- and social sciences to design and creativity, among others. The chapters, based on contributions presented at the Ninth Annual Meeting of the BICA Society, held in on August 23-24, 2018, in Prague, Czech Republic, discuss emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. All in all, the book provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future developments in the broadly intended areas of artificial intelligence and biological inspiration.

Fuzzy Techniques Theory and Applications

Fuzzy Techniques  Theory and Applications Book
Author : Ralph Baker Kearfott,Ildar Batyrshin,Marek Reformat,Martine Ceberio,Vladik Kreinovich
Publisher : Springer
Release : 2019-06-10
ISBN : 3030219208
Language : En, Es, Fr & De

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Book Description :

This book describes the latest findings related to fuzzy techniques, discussing applications in control, economics, education, humor studies, industrial engineering, linguistics, management, marketing, medicine and public health, military engineering, robotics, ship design, sports, transportation, and many other areas. It also presents recent fuzzy-related algorithms and theoretical results that can be used in other application areas. Featuring selected papers from the Joint World Congress of the International Fuzzy Systems Association (IFSA) and the Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) IFSA-NAFIPS’2019, held in Lafayette, Louisiana, USA, on June 18–21, 2019, the book is of interest to practitioners wanting to use fuzzy techniques to process imprecise expert knowledge. It is also a valuable resource for researchers wishing to extend the ideas from these papers to new application areas, for graduate students and for anyone else interested in problems involving fuzziness and uncertainty.

Soft Computing Applications

Soft Computing Applications Book
Author : Valentina Emilia Balas,Lakhmi C. Jain,Marius Mircea Balas,Shahnaz N. Shahbazova
Publisher : Springer Nature
Release : 2020-08-17
ISBN : 3030521907
Language : En, Es, Fr & De

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Book Description :

This book presents the proceedings of the 8th International Workshop on Soft Computing Applications, SOFA 2018, held on 13–15 September 2018 in Arad, Romania. The workshop was organized by Aurel Vlaicu University of Arad, in conjunction with the Institute of Computer Science, Iasi Branch of the Romanian Academy, IEEE Romanian Section, Romanian Society of Control Engineering and Technical Informatics – Arad Section, General Association of Engineers in Romania – Arad Section and BTM Resources Arad. The papers included in these proceedings, published post-conference, cover the research including Knowledge-Based Technologies for Web Applications, Cloud Computing, Security Algorithms and Computer Networks, Business Process Management, Computational Intelligence in Education and Modelling and Applications in Textiles and many other areas related to the Soft Computing. The book is directed to professors, researchers, and graduate students in area of soft computing techniques and applications.

Uncertain Rule Based Fuzzy Systems

Uncertain Rule Based Fuzzy Systems Book
Author : Jerry M. Mendel
Publisher : Springer
Release : 2017-05-17
ISBN : 3319513702
Language : En, Es, Fr & De

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Book Description :

The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that can model uncertainty — i.e., “type-2” fuzzy sets and systems. The author demonstrates how to overcome the limitations of classical fuzzy sets and systems, enabling a wide range of applications from time-series forecasting to knowledge mining to control. In this new edition, a bottom-up approach is presented that begins by introducing classical (type-1) fuzzy sets and systems, and then explains how they can be modified to handle uncertainty. The author covers fuzzy rule-based systems – from type-1 to interval type-2 to general type-2 – in one volume. For hands-on experience, the book provides information on accessing MatLab and Java software to complement the content. The book features a full suite of classroom material.

Artificial Intelligence in Real Time Control 1994

Artificial Intelligence in Real Time Control 1994 Book
Author : A. Crespo
Publisher : Elsevier
Release : 2014-06-28
ISBN : 1483296938
Language : En, Es, Fr & De

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Book Description :

Artificial Intelligence is one of the new technologies that has contributed to the successful development and implementation of powerful and friendly control systems. These systems are more attractive to end-users shortening the gap between control theory applications. The IFAC Symposia on Artificial Intelligence in Real Time Control provides the forum to exchange ideas and results among the leading researchers and practitioners in the field. This publication brings together the papers presented at the latest in the series and provides a key evaluation of present and future developments of Artificial Intelligence in Real Time Control system technologies.

Artificial Intelligence in Real Time Control 1992

Artificial Intelligence in Real Time Control 1992 Book
Author : M.G. Rodd,H.B. Verbruggen
Publisher : Elsevier
Release : 2014-06-28
ISBN : 1483299023
Language : En, Es, Fr & De

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Book Description :

The symposium had two main aims, to investigate the state-of-the-art in the application of artificial intelligence techniques in real-time control, and to bring together control system specialists, artificial intelligence specialists and end-users. Many professional engineers working in industry feel that the gap between theory and practice in applying control and systems theory is widening, despite efforts to develop control algorithms. Papers presented at the meeting ranged from the theoretical aspects to the practical applications of artificial intelligence in real-time control. Themes were: the methodology of artificial intelligence techniques in control engineering; the application of artificial intelligence techniques in different areas of control; and hardware and software requirements. This symposium showed that there exist alternative possibilities for control based on artificial intelligence techniques.

Neural Network Applications in Control

Neural Network Applications in Control Book
Author : Institution of Electrical Engineers
Publisher : IET
Release : 1995
ISBN : 9780852968529
Language : En, Es, Fr & De

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Book Description :

Introducing a wide variety of network types, including Kohenen nets, n-tuple nets and radial basis function networks as well as the more useful multilayer perception back-propagation networks, this book aims to give a detailed appreciation of the use of neural nets in these applications.

Intelligent Components and Instruments for Control Applications 2003 SICICA 2003

Intelligent Components and Instruments for Control Applications 2003  SICICA 2003  Book
Author : L. Almeida,Luis B. Almeida,S. Boverie
Publisher : Elsevier
Release : 2003
ISBN : 9780080440101
Language : En, Es, Fr & De

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Book Description :

A Proceedings volume from the IFAC Symposium on Intelligent Components and Instruments for Control Applications, Portugal, 2003. Provides an overview of the theory and applications and presents an exchange of experiences on recent advances in this field.

Contemporary Issues in Systems Science and Engineering

Contemporary Issues in Systems Science and Engineering Book
Author : MengChu Zhou,Han-Xiong Li,Margot Weijnen
Publisher : John Wiley & Sons
Release : 2015-03-30
ISBN : 1119036968
Language : En, Es, Fr & De

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Book Description :

Various systems science and engineering disciplines are covered and challenging new research issues in these disciplines are revealed. They will be extremely valuable for the readers to search for some new research directions and problems. Chapters are contributed by world-renowned systems engineers Chapters include discussions and conclusions Readers can grasp each event holistically without having professional expertise in the field

Artificial Intelligence in Renewable Energetic Systems

Artificial Intelligence in Renewable Energetic Systems Book
Author : Mustapha Hatti
Publisher : Springer
Release : 2018-03-12
ISBN : 3319731920
Language : En, Es, Fr & De

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Book Description :

This book includes the latest research presented at the International Conference on Artificial Intelligence in Renewable Energetic Systems held in Tipaza, Algeria on October 22–24, 2017. The development of renewable energy at low cost must necessarily involve the intelligent optimization of energy flows and the intelligent balancing of production, consumption and energy storage. Intelligence is distributed at all levels and allows information to be processed to optimize energy flows according to constraints. This thematic is shaping the outlines of future economies of and offers the possibility of transforming society. Taking advantage of the growing power of the microprocessor makes the complexity of renewable energy systems accessible, especially since the algorithms of artificial intelligence make it possible to take relevant decisions or even reveal unsuspected trends in the management and optimization of renewable energy flows. The book enables those working on energy systems and those dealing with models of artificial intelligence to combine their knowledge and their intellectual potential for the benefit of the scientific community and humanity.

Algorithms and Architectures for Real Time Control 1992

Algorithms and Architectures for Real Time Control 1992 Book
Author : P.J. Fleming,W.H. Kwon
Publisher : Elsevier
Release : 2014-05-23
ISBN : 1483297934
Language : En, Es, Fr & De

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Book Description :

This Workshop focuses on such issues as control algorithms which are suitable for real-time use, computer architectures which are suitable for real-time control algorithms, and applications for real-time control issues in the areas of parallel algorithms, multiprocessor systems, neural networks, fault-tolerance systems, real-time robot control identification, real-time filtering algorithms, control algorithms, fuzzy control, adaptive and self-tuning control, and real-time control applications.

Introduction to Deep Learning for Engineers

Introduction to Deep Learning for Engineers Book
Author : Tariq M. Arif
Publisher : Morgan & Claypool Publishers
Release : 2020-07-22
ISBN : 1681739143
Language : En, Es, Fr & De

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Book Description :

This book provides a short introduction and easy-to-follow implementation steps of deep learning using Google Cloud Platform. It also includes a practical case study that highlights the utilization of Python and related libraries for running a pre-trained deep learning model. In recent years, deep learning-based modeling approaches have been used in a wide variety of engineering domains, such as autonomous cars, intelligent robotics, computer vision, natural language processing, and bioinformatics. Also, numerous real-world engineering applications utilize an existing pre-trained deep learning model that has already been developed and optimized for a related task. However, incorporating a deep learning model in a research project is quite challenging, especially for someone who doesn't have related machine learning and cloud computing knowledge. Keeping that in mind, this book is intended to be a short introduction of deep learning basics through the example of a practical implementation case. The audience of this short book is undergraduate engineering students who wish to explore deep learning models in their class project or senior design project without having a full journey through the machine learning theories. The case study part at the end also provides a cost-effective and step-by-step approach that can be replicated by others easily.

Sliding mode Fuzzy Controllers

Sliding mode Fuzzy Controllers Book
Author : Mojtaba Ahmadieh Khanesar,Okyay Kaynak,Erdal Kayacan
Publisher : Springer Nature
Release : 2021
ISBN : 3030691829
Language : En, Es, Fr & De

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Book Description :

This book addresses some of the challenges suffered by the well-known and robust sliding-mode control paradigm. The authors show how the fusion of fuzzy systems with sliding-mode controllers can alleviate some of these problems and promote applicability. Fuzzy systems used as soft switches eliminate high-frequency signal oscillations and can substantially lower the noise sensitivity of sliding-mode controllers. The amount of a priori knowledge required concerning the nominal structure and parameters of a nonlinear system is also shown to be much reduced by exploiting the general function-approximation property of fuzzy systems so as to use them as identifiers. The main features of this book include: " a review of various existing structures of sliding-mode fuzzy control; " a guide to the fundamental mathematics of sliding-mode fuzzy controllers and their stability analysis; " state-of-the-art procedures for the design of a sliding-mode fuzzy controller; " source codes including MATLAB® and Simulink® codes illustrating the simulation of these controllers, particularly the adaptive controllers; " a short bibliography for each chapter for readers interested in learning more on a particular subject; and " illustrative examples and simulation results to support the main claims made in the text. Academic researchers and graduate students interested in the control of nonlinear systems and particularly those working in sliding-mode controller design will find this book a valuable source of comparative information on existing controllers and ideas for the development of new ones.

Soft Computing and Intelligent Systems

Soft Computing and Intelligent Systems Book
Author : Madan M. Gupta
Publisher : Elsevier
Release : 1999-10-28
ISBN : 9780080541334
Language : En, Es, Fr & De

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Book Description :

The field of soft computing is emerging from the cutting edge research over the last ten years devoted to fuzzy engineering and genetic algorithms. The subject is being called soft computing and computational intelligence. With acceptance of the research fundamentals in these important areas, the field is expanding into direct applications through engineering and systems science. This book cover the fundamentals of this emerging filed, as well as direct applications and case studies. There is a need for practicing engineers, computer scientists, and system scientists to directly apply "fuzzy" engineering into a wide array of devices and systems.

Advances in Energy Environment and Materials Science

Advances in Energy  Environment and Materials Science Book
Author : Yeping Wang,Jianhua Zhao
Publisher : CRC Press
Release : 2018-11-22
ISBN : 1315640562
Language : En, Es, Fr & De

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Book Description :

The International Conference on Energy, Environment and Materials Science (EEMS2015) was held in Guangzhou, China, from August 25 - 26, 2015. EEMS2015 provided a platform for academic scientists, researchers and scholars to exchange and share their experiences and research results within the fields of energy science, energy technology, environmental science, environmental engineering, motivation, automation and electrical engineering, material science and engineering, the discovery or development of energy, and environment and materials science.

Proceedings of the 4th International Conference on Electrical Engineering and Control Applications

Proceedings of the 4th International Conference on Electrical Engineering and Control Applications Book
Author : Sofiane Bououden,Mohammed Chadli,Salim Ziani,Ivan Zelinka
Publisher : Springer Nature
Release : 2020-09-29
ISBN : 9811564035
Language : En, Es, Fr & De

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Book Description :

This book gathers papers presented during the 4th International Conference on Electrical Engineering and Control Applications. It covers new control system models, troubleshooting tips and complex system requirements, such as increased speed, precision and remote capabilities. Additionally, the papers discuss not only the engineering aspects of signal processing and various practical issues in the broad field of information transmission, but also novel technologies for communication networks and modern antenna design. This book is intended for researchers, engineers and advanced postgraduate students in the fields of control and electrical engineering, computer science and signal processing, as well as mechanical and chemical engineering.