Nature Inspired Optimization Algorithms for Fuzzy Controlled Servo Systems

Nature-inspired Optimization Algorithms for Fuzzy Controlled Servo Systems explains fuzzy control in servo systems in a way that doesn't require any solid mathematical prerequisite. Analysis and design methodologies are covered, along with specific applications to servo systems and representative case studies. The theoretical approaches presented throughout the book are validated by the illustration of digital simulation and real-time experimental results. This book is a great resource for a wide variety of readers, including graduate students, engineers (designers, practitioners and researchers), and everyone who faces challenging control problems. Merges classical and modern approaches to fuzzy control Presents, in a unified structure, the essential aspects regarding fuzzy control in servo systems Explains notions of fuzzy set theory and fuzzy control to readers with limited experience

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  • Author : Radu-Emil Precup
  • Publisher : Butterworth-Heinemann
  • Pages : 148 pages
  • ISBN : 0128166061
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKNature Inspired Optimization Algorithms for Fuzzy Controlled Servo Systems

Nature-Inspired Optimization Algorithms for Fuzzy Controlled Servo Systems

Nature-Inspired Optimization Algorithms for Fuzzy Controlled Servo Systems
  • Author : Radu-Emil Precup,Radu-Codrut David
  • Publisher : Butterworth-Heinemann
  • Release : 19 April 2019
GET THIS BOOKNature-Inspired Optimization Algorithms for Fuzzy Controlled Servo Systems

Nature-inspired Optimization Algorithms for Fuzzy Controlled Servo Systems explains fuzzy control in servo systems in a way that doesn't require any solid mathematical prerequisite. Analysis and design methodologies are covered, along with specific applications to servo systems and representative case studies. The theoretical approaches presented throughout the book are validated by the illustration of digital simulation and real-time experimental results. This book is a great resource for a wide variety of readers, including graduate students, engineers (designers, practitioners and researchers),

Nature-Inspired Computation and Swarm Intelligence

Nature-Inspired Computation and Swarm Intelligence
  • Author : Xin-She Yang
  • Publisher : Academic Press
  • Release : 09 April 2020
GET THIS BOOKNature-Inspired Computation and Swarm Intelligence

Nature-inspired computation and swarm intelligence have become popular and effective tools for solving problems in optimization, computational intelligence, soft computing and data science. Recently, the literature in the field has expanded rapidly, with new algorithms and applications emerging. Nature-Inspired Computation and Swarm Intelligence: Algorithms, Theory and Applications is a timely reference giving a comprehensive review of relevant state-of-the-art developments in algorithms, theory and applications of nature-inspired algorithms and swarm intelligence. It reviews and documents the new developments, focusing on nature-inspired

Applied Nature-Inspired Computing: Algorithms and Case Studies

Applied Nature-Inspired Computing: Algorithms and Case Studies
  • Author : Nilanjan Dey,Amira S. Ashour,Siddhartha Bhattacharyya
  • Publisher : Springer
  • Release : 10 August 2019
GET THIS BOOKApplied Nature-Inspired Computing: Algorithms and Case Studies

This book presents a cutting-edge research procedure in the Nature-Inspired Computing (NIC) domain and its connections with computational intelligence areas in real-world engineering applications. It introduces readers to a broad range of algorithms, such as genetic algorithms, particle swarm optimization, the firefly algorithm, flower pollination algorithm, collision-based optimization algorithm, bat algorithm, ant colony optimization, and multi-agent systems. In turn, it provides an overview of meta-heuristic algorithms, comparing the advantages and disadvantages of each. Moreover, the book provides a brief outline

Handbook of PI and PID Controller Tuning Rules

Handbook of PI and PID Controller Tuning Rules
  • Author : Aidan O'Dwyer
  • Publisher : Imperial College Press
  • Release : 17 June 2021
GET THIS BOOKHandbook of PI and PID Controller Tuning Rules

The vast majority of automatic controllers used to compensate industrial processes are of PI or PID type. This book comprehensively compiles, using a unified notation, tuning rules for these controllers proposed over the last seven decades (1935OCo2005). The tuning rules are carefully categorized and application information about each rule is given. The book discusses controller architecture and process modeling issues, as well as the performance and robustness of loops compensated with PI or PID controllers. This unique publication brings together

Computational Intelligence and Optimization Methods for Control Engineering

Computational Intelligence and Optimization Methods for Control Engineering
  • Author : Maude Josée Blondin,Panos M. Pardalos,Javier Sanchis Sáez
  • Publisher : Springer Nature
  • Release : 20 September 2019
GET THIS BOOKComputational Intelligence and Optimization Methods for Control Engineering

This volume presents some recent and principal developments related to computational intelligence and optimization methods in control. Theoretical aspects and practical applications of control engineering are covered by 14 self-contained contributions. Additional gems include the discussion of future directions and research perspectives designed to add to the reader’s understanding of both the challenges faced in control engineering and the insights into the developing of new techniques. With the knowledge obtained, readers are encouraged to determine the appropriate control method for

Neural Networks in a Softcomputing Framework

Neural Networks in a Softcomputing Framework
  • Author : Ke-Lin Du,M.N.S. Swamy
  • Publisher : Springer Science & Business Media
  • Release : 02 August 2006
GET THIS BOOKNeural Networks in a Softcomputing Framework

This concise but comprehensive textbook reviews the most popular neural-network methods and their associated techniques. Each chapter provides state-of-the-art descriptions of important major research results of the respective neural-network methods. A range of relevant computational intelligence topics, such as fuzzy logic and evolutionary algorithms – powerful tools for neural-network learning – are introduced. The systematic survey of neural-network models and exhaustive references list will point readers toward topics for future research. The algorithms outlined also make this textbook a valuable reference for

Soft Computing for Intelligent Control and Mobile Robotics

Soft Computing for Intelligent Control and Mobile Robotics
  • Author : Oscar Castillo,Witold Pedrycz
  • Publisher : Springer Science & Business Media
  • Release : 05 October 2010
GET THIS BOOKSoft Computing for Intelligent Control and Mobile Robotics

This book describes in a detailed fashion the application of hybrid intelligent systems using soft computing techniques for intelligent control and mobile robotics. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The prudent combination of SC techniques can produce powerful hybrid intelligent systems that are capable of solving real-world problems. This is illustrated in this book with a wide range

Type-2 Fuzzy Logic: Theory and Applications

Type-2 Fuzzy Logic: Theory and Applications
  • Author : Oscar Castillo,Patricia Melin
  • Publisher : Springer Science & Business Media
  • Release : 20 February 2008
GET THIS BOOKType-2 Fuzzy Logic: Theory and Applications

This book describes new methods for building intelligent systems using type-2 fuzzy logic and soft computing (SC) techniques. The authors extend the use of fuzzy logic to a higher order, which is called type-2 fuzzy logic. Combining type-2 fuzzy logic with traditional SC techniques, we can build powerful hybrid intelligent systems that can use the advantages that each technique offers. This book is intended to be a major reference tool and can be used as a textbook.

Fuzzy Control

Fuzzy Control
  • Author : Kevin M. Passino,Stephen Yurkovich
  • Publisher : Prentice Hall
  • Release : 17 June 1998
GET THIS BOOKFuzzy Control

Introduction; Fuzzy control: the basics; Case studies in design and implementation; nonlinear analysis; Fuzzy identification and estimation; Adaptive fuzzy control; Fuzzy supervisory control; Perspectives on fuzzy control.

Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization

Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization
  • Author : Patricia Melin,Oscar Castillo,Janusz Kacprzyk
  • Publisher : Springer
  • Release : 12 June 2015
GET THIS BOOKDesign of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization

This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. The book is organized in eight main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of theoretical aspects of fuzzy logic, which basically consists of papers

Evolutionary Optimization Algorithms

Evolutionary Optimization Algorithms
  • Author : Dan Simon
  • Publisher : John Wiley & Sons
  • Release : 13 June 2013
GET THIS BOOKEvolutionary Optimization Algorithms

A clear and lucid bottom-up approach to the basic principlesof evolutionary algorithms Evolutionary algorithms (EAs) are a type of artificialintelligence. EAs are motivated by optimization processes that weobserve in nature, such as natural selection, species migration,bird swarms, human culture, and ant colonies. This book discusses the theory, history, mathematics, andprogramming of evolutionary optimization algorithms. Featuredalgorithms include genetic algorithms, genetic programming, antcolony optimization, particle swarm optimization, differentialevolution, biogeography-based optimization, and many others. Evolutionary Optimization Algorithms: Provides a straightforward, bottom-up approach

Fuzzy Control

Fuzzy Control
  • Author : Rainer Hampel,Michael Wagenknecht,Nasredin Chaker
  • Publisher : Springer Science & Business Media
  • Release : 02 June 2013
GET THIS BOOKFuzzy Control

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

Nature-Inspired Design of Hybrid Intelligent Systems

Nature-Inspired Design of Hybrid Intelligent Systems
  • Author : Patricia Melin,Oscar Castillo,Janusz Kacprzyk
  • Publisher : Springer
  • Release : 08 December 2016
GET THIS BOOKNature-Inspired Design of Hybrid Intelligent Systems

This book highlights recent advances in the design of hybrid intelligent systems based on nature-inspired optimization and their application in areas such as intelligent control and robotics, pattern recognition, time series prediction, and optimization of complex problems. The book is divided into seven main parts, the first of which addresses theoretical aspects of and new concepts and algorithms based on type-2 and intuitionistic fuzzy logic systems. The second part focuses on neural network theory, and explores the applications of neural

Genetic Algorithms in Search, Optimization, and Machine Learning

Genetic Algorithms in Search, Optimization, and Machine Learning
  • Author : David Edward Goldberg,David Edward, Goldberg,Goldberg, David Edward Goldberg,Visiting Assistant Professor of History David E Goldberg
  • Publisher : Addison-Wesley Professional
  • Release : 17 June 1989
GET THIS BOOKGenetic Algorithms in Search, Optimization, and Machine Learning

A gentle introduction to genetic algorithms. Genetic algorithms revisited: mathematical foundations. Computer implementation of a genetic algorithm. Some applications of genetic algorithms. Advanced operators and techniques in genetic search. Introduction to genetics-based machine learning. Applications of genetics-based machine learning. A look back, a glance ahead. A review of combinatorics and elementary probability. Pascal with random number generation for fortran, basic, and cobol programmers. A simple genetic algorithm (SGA) in pascal. A simple classifier system(SCS) in pascal. Partition coefficient transforms