Self Learning Predictive Control Using Relational Based Fuzzy Logic PDF Download
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Author | : Mary Margaret Bourke |
Publisher | : |
Total Pages | : 724 |
Release | : 1995 |
Genre | : |
ISBN | : |
Download Self-learning Predictive Control Using Relational-based Fuzzy Logic Book in PDF, ePub and Kindle
Author | : Dimiter Driankov |
Publisher | : Physica |
Total Pages | : 421 |
Release | : 2013-04-17 |
Genre | : Computers |
ISBN | : 3790818860 |
Download Advances in Fuzzy Control Book in PDF, ePub and Kindle
Model-based fuzzy control uses a given conventional or a fuzzy open loop of the plant under control in order to derive the set of fuzzy if-then rules constituting the corresponding fuzzy controller. Furthermore, of central interest are the consequent stability, performance, and robustness analysis of the resulting closed loop system involving a conventional model and a fuzzy controller, or a fuzzy model and a fuzzy controller. The major objective of the model-based fuzzy control is to use the full available range of existing linear and nonlinear design of such fuzzy controllers which have better stability, performance, and robustness properties than the corresponding non-fuzzy controllers designed by the use of these same techniques.
Author | : Jairo Jose Espinosa Oviedo |
Publisher | : Springer Science & Business Media |
Total Pages | : 274 |
Release | : 2007-01-04 |
Genre | : Technology & Engineering |
ISBN | : 1846280877 |
Download Fuzzy Logic, Identification and Predictive Control Book in PDF, ePub and Kindle
Modern industrial processes and systems require adaptable advanced control protocols able to deal with circumstances demanding "judgement” rather than simple "yes/no”, "on/off” responses: circumstances where a linguistic description is often more relevant than a cut-and-dried numerical one. The ability of fuzzy systems to handle numeric and linguistic information within a single framework renders them efficacious for this purpose. Fuzzy Logic, Identification and Predictive Control first shows you how to construct static and dynamic fuzzy models using the numerical data from a variety of real industrial systems and simulations. The second part exploits such models to design control systems employing techniques like data mining. This monograph presents a combination of fuzzy control theory and industrial serviceability that will make a telling contribution to your research whether in the academic or industrial sphere and also serves as a fine roundup of the fuzzy control area for the graduate student.
Author | : Jairo Jose Espinosa Oviedo |
Publisher | : Springer |
Total Pages | : 264 |
Release | : 2009-10-12 |
Genre | : Technology & Engineering |
ISBN | : 9781848007758 |
Download Fuzzy Logic, Identification and Predictive Control Book in PDF, ePub and Kindle
Modern industrial processes and systems require adaptable advanced control protocols able to deal with circumstances demanding "judgement” rather than simple "yes/no”, "on/off” responses: circumstances where a linguistic description is often more relevant than a cut-and-dried numerical one. The ability of fuzzy systems to handle numeric and linguistic information within a single framework renders them efficacious for this purpose. Fuzzy Logic, Identification and Predictive Control first shows you how to construct static and dynamic fuzzy models using the numerical data from a variety of real industrial systems and simulations. The second part exploits such models to design control systems employing techniques like data mining. This monograph presents a combination of fuzzy control theory and industrial serviceability that will make a telling contribution to your research whether in the academic or industrial sphere and also serves as a fine roundup of the fuzzy control area for the graduate student.
Author | : Christopher John Harris |
Publisher | : World Scientific |
Total Pages | : 412 |
Release | : 1993 |
Genre | : Computers |
ISBN | : 9789810210427 |
Download Intelligent Control Book in PDF, ePub and Kindle
With increasing demands for high precision autonomous control over wide operating envelopes, conventional control engineering approaches are unable to adequately deal with system complexity, nonlinearities, spatial and temporal parameter variations, and with uncertainty. Intelligent Control or self-organising/learning control is a new emerging discipline that is designed to deal with problems. Rather than being model based, it is experiential based. Intelligent Control is the amalgam of the disciplines of Artificial Intelligence, Systems Theory and Operations Research. It uses most recent experiences or evidence to improve its performance through a variety of learning schemas, that for practical implementation must demonstrate rapid learning convergence, be temporally stable, be robust to parameter changes and internal and external disturbances. It is shown in this book that a wide class of fuzzy logic and neural net based learning algorithms satisfy these conditions. It is demonstrated that this class of intelligent controllers is based upon a fixed nonlinear mapping of the input (sensor) vector, followed by an output layer linear mapping with coefficients that are updated by various first order learning laws. Under these conditions self-organising fuzzy logic controllers and neural net controllers have common learning attributes.A theme example of the navigation and control of an autonomous guided vehicle is included throughout, together with a series of bench examples to demonstrate this new theory and its applicability.
Author | : Fanzhang Li |
Publisher | : Walter de Gruyter GmbH & Co KG |
Total Pages | : 338 |
Release | : 2017-12-04 |
Genre | : Computers |
ISBN | : 3110520656 |
Download Dynamic Fuzzy Machine Learning Book in PDF, ePub and Kindle
Machine learning is widely used for data analysis. Dynamic fuzzy data are one of the most difficult types of data to analyse in the field of big data, cloud computing, the Internet of Things, and quantum information. At present, the processing of this kind of data is not very mature. The authors carried out more than 20 years of research, and show in this book their most important results. The seven chapters of the book are devoted to key topics such as dynamic fuzzy machine learning models, dynamic fuzzy self-learning subspace algorithms, fuzzy decision tree learning, dynamic concepts based on dynamic fuzzy sets, semi-supervised multi-task learning based on dynamic fuzzy data, dynamic fuzzy hierarchy learning, examination of multi-agent learning model based on dynamic fuzzy logic. This book can be used as a reference book for senior college students and graduate students as well as college teachers and scientific and technical personnel involved in computer science, artificial intelligence, machine learning, automation, data analysis, mathematics, management, cognitive science, and finance. It can be also used as the basis for teaching the principles of dynamic fuzzy learning.
Author | : Robert Babuska |
Publisher | : World Scientific |
Total Pages | : 341 |
Release | : 1999-03-19 |
Genre | : Technology & Engineering |
ISBN | : 9814495158 |
Download Fuzzy Logic Control: Advances In Applications Book in PDF, ePub and Kindle
Fuzzy logic control has become an important methodology in control engineering. This volume deals with applications of fuzzy logic control in various domains. The contributions are divided into three parts. The first part consists of two state-of-the-art tutorials on fuzzy control and fuzzy modeling. Surveys of advanced methodologies are included in the second part. These surveys address fuzzy decision making and control, fault detection, isolation and diagnosis, complexity reduction in fuzzy systems and neuro-fuzzy methods. The third part contains application-oriented contributions from various fields, such as process industry, cement and ceramics, vehicle control and traffic management, electromechanical and production systems, avionics, biotechnology and medical applications. The book is intended for researchers both from the academic world and from industry.
Author | : Cs. Banyasz |
Publisher | : Elsevier |
Total Pages | : 413 |
Release | : 2014-05-23 |
Genre | : Technology & Engineering |
ISBN | : 1483296628 |
Download Intelligent Components and Instruments for Control Applications 1994 Book in PDF, ePub and Kindle
Advances in computer technology and sensor development have led to increasingly successful control operations. In order to maximize future potential it is vital for academics and practitioners in the field to have an international forum for discussion and evaluation of the latest developments. The IFAC Symposia on intelligent components and instruments provide this opportunity and the latest in the series gives rise to this invaluable publication which provides an authoritative assessment of the present state and future directions of these key technologies.
Author | : Lefteri H. Tsoukalas |
Publisher | : McGraw Hill Professional |
Total Pages | : 174 |
Release | : 2023-10-27 |
Genre | : Technology & Engineering |
ISBN | : 1264676131 |
Download Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning Book in PDF, ePub and Kindle
Fuzzy logic principles, practices, and real-world applications This hands-on guide offers clear explanations of fuzzy logic along with practical applications and real-world examples. Written by an award-winning engineer, Fuzzy Logic: Applications in Artificial Intelligence, Big Data, and Machine Learning is aimed at improving competence and motivation in students and professionals alike. Inside, you will discover how to apply fuzzy logic in the context of pervasive digitization and big data across emerging technologies which require a very different man-machine relationship than the ones previously used in engineering, science, economics, and social sciences. Applications covered include intelligent energy systems with demand response, smart homes, electrification of transportation, supply chain efficiencies, smart cities, e-commerce, education, healthcare, and decarbonization. Serves as a classroom guide and as an on-the-job resource Ancillaries include a sample syllabus, test sets with answer keys, and additional self-study resources for students Written by an expert in the field and experienced author
Author | : North American Fuzzy Information Processing Society. Annual Meeting |
Publisher | : |
Total Pages | : 554 |
Release | : 2004 |
Genre | : Fuzzy systems |
ISBN | : |
Download Annual Meeting of the North American Fuzzy Information Processing Society--NAFIPS. Book in PDF, ePub and Kindle