Fuzzy control and identification / (Record no. 74128)

000 -LEADER
fixed length control field 05788nam a2201033 i 4500
001 - CONTROL NUMBER
control field 5733051
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220712205757.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 151222s2010 njua ob 001 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780470874240
-- electronic
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- print
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- paper
082 00 - CLASSIFICATION NUMBER
Call Number 629.8
100 1# - AUTHOR NAME
Author Lilly, John H.,
245 10 - TITLE STATEMENT
Title Fuzzy control and identification /
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 PDF (xv, 231 pages) :
505 2# - FORMATTED CONTENTS NOTE
Remark 2 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.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
Subject Fuzzy automata.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
Subject System identification.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
Subject Automatic control
General subdivision Mathematics.
856 42 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5733051
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Hoboken, New Jersey :
-- Wiley,
-- c2010.
264 #2 -
-- [Piscataqay, New Jersey] :
-- IEEE Xplore,
-- [2010]
336 ## -
-- text
-- rdacontent
337 ## -
-- electronic
-- isbdmedia
338 ## -
-- online resource
-- rdacarrier
588 ## -
-- Description based on PDF viewed 12/22/2015.
695 ## -
-- Adaptation models
695 ## -
-- Bibliographies
695 ## -
-- Computers
695 ## -
-- Control systems
695 ## -
-- Differential equations
695 ## -
-- Distributed control
695 ## -
-- Estimation
695 ## -
-- Force
695 ## -
-- Friction
695 ## -
-- Fuzzy control
695 ## -
-- Fuzzy logic
695 ## -
-- Fuzzy sets
695 ## -
-- Fuzzy systems
695 ## -
-- Humans
695 ## -
-- Indexes
695 ## -
-- Interpolation
695 ## -
-- Least squares approximation
695 ## -
-- Linear matrix inequalities
695 ## -
-- Linear systems
695 ## -
-- Load modeling
695 ## -
-- Mathematical model
695 ## -
-- Noise
695 ## -
-- Noise measurement
695 ## -
-- Nonlinear dynamical systems
695 ## -
-- Nonlinear systems
695 ## -
-- Pragmatics
695 ## -
-- Shafts
695 ## -
-- Shape
695 ## -
-- Space cooling
695 ## -
-- Stability analysis
695 ## -
-- Symmetric matrices
695 ## -
-- System performance
695 ## -
-- Temperature distribution
695 ## -
-- Temperature measurement
695 ## -
-- Temperature sensors
695 ## -
-- Time varying systems
695 ## -
-- Torque
695 ## -
-- Tracking
695 ## -
-- Training data
695 ## -
-- Trajectory
695 ## -
-- Vectors
695 ## -
-- Wind
695 ## -
-- Wind speed

No items available.