1.

Record Nr.

UNINA9910140984103321

Autore

Lilly John H. <1949->

Titolo

Fuzzy control and identification / / John H. Lilly

Pubbl/distr/stampa

Hoboken, New Jersey : , : Wiley, , c2010

[Piscataqay, New Jersey] : , : IEEE Xplore, , [2010]

ISBN

1-118-09781-5

1-282-88362-3

9786612883620

0-470-87271-3

Edizione

[1st edition]

Descrizione fisica

1 online resource (249 p.)

Disciplina

629.8

Soggetti

Fuzzy automata

System identification

Automatic control - Mathematics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Introduction -- Basic concepts of fuzzy sets -- Mamdani fuzzy systems -- Fuzzy control with Mamdani systems -- Modeling and control methods useful for fuzzy control -- Takagi-Sugeno fuzzy systems -- Parallel distributed control with Takagi-Sugeno fuzzy systems -- Estimation of static nonlinear functions from data -- Modeling of dynamic plants as fuzzy systems -- Adaptive fuzzy control.

Sommario/riassunto

A comprehensive introduction to fuzzy control and identification, covering both Mamdani and Takagi-Sugeno fuzzy systemsA fuzzy control system is a control system based on fuzzy logic, which is a mathematical system that makes decisions using human reasoning processes. This book presents an introductory-level exposure to two of the principal uses for fuzzy logic-identification and control. Drawn from the author's lectures presented in a graduate-level course over the past decade, this volume serves as a holistically suitable single text for a fuzzy control course, compiling the information often found in several different books on the subject into one.Starting with explanations of fuzzy logic, fuzzy control, and adaptive fuzzy control, the book introduces the concept of expert knowledge, which is the



basis for much of fuzzy control. From there, the author covers:. Basic concepts of fuzzy sets such as membership functions, universe of discourse, linguistic variables, linguistic values, support, a-cut, and convexity. Both Mamdani and Takagi-Sugeno fuzzy systems, showing how an effective controller can be designed for many complex nonlinear systems without mathematical models or knowledge of control theory while also suggesting several approaches to modeling of complex engineering systems with unknown models. How PID controllers can be made fuzzy and why this is useful. Position-form and incremental-form fuzzy controllers. How nonlinear systems can be modeled as fuzzy systems in several forms. How fuzzy tracking control and model reference control can be realized for nonlinear systems using parallel distributed techniques. The estimation of nonlinear systems using the batch least squares, recursive least squares, and gradient methods. The creation of direct and indirect adaptive fuzzy controllersAlso included are many examples, exercises, and computer program listings, all class-tested. Fuzzy Control and Identification is intended for seniors and first-year graduate students, and is suitable for any engineering department. No knowledge specific to any particular branch of engineering is required, and no knowledge of electrical, chemical, or mechanical systems is necessary to read and understand the material.



2.

Record Nr.

UNINA9910141965103321

Titolo

IMF staff papers / / International Monetary Fund

Pubbl/distr/stampa

Washington, D.C., : International Monetary Fund, ©1999-

ISSN

1564-5150

Soggetti

Foreign exchange

Commerce

Currency question

Change

Question monétaire

Wymienialność waluty

Volkswirtschaftslehre

Zeitschrift

Wirtschaftswissenschaften

Monetaire politiek

Internationale economie

MONETARY ANALYSIS

FOREIGN EXCHANGE

FINANCE

Czasopismo ekonomiczne

Periodicals.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Periodico

Note generali

Refereed/Peer-reviewed

Title from IMF home page (viewed July 17, 2001).