Nature Inspired Optimization Algorithms for Fuzzy Controlled Servo Systems

Nature-inspired Optimization Algorithms for Fuzzy Controlled Servo Systems suits the general need of a book that explains the major issues to fuzzy control in servo systems without any solid mathematical prerequisite. In addition, pertinent information on nature-inspired optimization algorithms is offered. The book is intended to rapidly make intelligible notions of fuzzy set theory and fuzzy control to readers with limited experience. The attractive analysis and design methodologies dedicated to fuzzy controllers are accompanied by applications to servo systems and case studies in fuzzy controlled servo systems are organized in a special chapter of this book, and allow simple implementations of low-cost automation solutions. The theoretical approaches presented throughout the book are validated by the illustration of digital simulation results and real-time experimental results as well. This book aims at a large category of audience including graduate students, engineers (designers, practitioners and researchers), and everyone who faces challenging control problems. Gives a merge between classical and modern approaches to fuzzy control Presents in a unified structure from the point of view of a control engineer the essential aspects regarding fuzzy control in servo systems Makes intelligible 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 : 220 pages
  • ISBN : 0128163585
  • 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 : 15 May 2019
GET THIS BOOKNature-Inspired Optimization Algorithms for Fuzzy Controlled Servo Systems

Nature-inspired Optimization Algorithms for Fuzzy Controlled Servo Systems suits the general need of a book that explains the major issues to fuzzy control in servo systems without any solid mathematical prerequisite. In addition, pertinent information on nature-inspired optimization algorithms is offered. The book is intended to rapidly make intelligible notions of fuzzy set theory and fuzzy control to readers with limited experience. The attractive analysis and design methodologies dedicated to fuzzy controllers are accompanied by applications to servo systems and

Nature-Inspired Computation and Swarm Intelligence

Nature-Inspired Computation and Swarm Intelligence
  • Author : Xin-She Yang
  • Publisher : Academic Press
  • Release : 24 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

Nature-Inspired Computation in Navigation and Routing Problems

Nature-Inspired Computation in Navigation and Routing Problems
  • Author : Xin-She Yang,Yu-Xin Zhao
  • Publisher : Springer Nature
  • Release : 19 February 2020
GET THIS BOOKNature-Inspired Computation in Navigation and Routing Problems

This book discusses all the major nature-inspired algorithms with a focus on their application in the context of solving navigation and routing problems. It also reviews the approximation methods and recent nature-inspired approaches for practical navigation, and compares these methods with traditional algorithms to validate the approach for the case studies discussed. Further, it examines the design of alternative solutions using nature-inspired techniques, and explores the challenges of navigation and routing problems and nature-inspired metaheuristic approaches.

Intelligent Data Engineering and Automated Learning – IDEAL 2021

Intelligent Data Engineering and Automated Learning – IDEAL 2021
  • Author : Hujun Yin,David Camacho,Peter Tino,Richard Allmendinger,Antonio J. Tallón-Ballesteros,Ke Tang,Sung-Bae Cho,Paulo Novais,Susana Nascimento
  • Publisher : Springer Nature
  • Release : 23 November 2021
GET THIS BOOKIntelligent Data Engineering and Automated Learning – IDEAL 2021

This book constitutes the refereed proceedings of the 22nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2021, which took place during November 25-27, 2021. The conference was originally planned to take place in Manchester, UK, but was held virtually due to the COVID-19 pandemic. The 61 full papers included in this book were carefully reviewed and selected from 85 submissions. They deal with emerging and challenging topics in intelligent data analytics and associated machine learning paradigms and systems. Special sessions were

Data-Driven Model-Free Controllers

Data-Driven Model-Free Controllers
  • Author : Radu-Emil Precup,Raul-Cristian Roman,Ali Safaei
  • Publisher : CRC Press
  • Release : 27 December 2021
GET THIS BOOKData-Driven Model-Free Controllers

This book categorizes the wide area of data-driven model-free controllers, reveals the exact benefits of such controllers, gives the in-depth theory and mathematical proofs behind them, and finally discusses their applications. Each chapter includes a section for presenting the theory and mathematical definitions of one of the above mentioned algorithms. The second section of each chapter is dedicated to the examples and applications of the corresponding control algorithms in practical engineering problems. This book proposes to avoid complex mathematical equations,

Controller Tuning Optimization Methods for Multi-Constraints and Nonlinear Systems

Controller Tuning Optimization Methods for Multi-Constraints and Nonlinear Systems
  • Author : Maude Josée Blondin
  • Publisher : Springer Nature
  • Release : 06 January 2021
GET THIS BOOKController Tuning Optimization Methods for Multi-Constraints and Nonlinear Systems

This book covers controller tuning techniques from conventional to new optimization methods for diverse control engineering applications. Classical controller tuning approaches are presented with real-world challenges faced in control engineering. Current developments in applying optimization techniques to controller tuning are explained. Case studies of optimization algorithms applied to controller tuning dealing with nonlinearities and limitations like the inverted pendulum and the automatic voltage regulator are presented with performance comparisons. Students and researchers in engineering and optimization interested in optimization methods

Handbook On Computational Intelligence (In 2 Volumes)

Handbook On Computational Intelligence (In 2 Volumes)
  • Author : Angelov Plamen Parvanov
  • Publisher : World Scientific
  • Release : 18 March 2016
GET THIS BOOKHandbook On Computational Intelligence (In 2 Volumes)

With the Internet, the proliferation of Big Data, and autonomous systems, mankind has entered into an era of 'digital obesity'. In this century, computational intelligence, such as thinking machines, have been brought forth to process complex human problems in a wide scope of areas — from social sciences, economics and biology, medicine and social networks, to cyber security.The Handbook of Computational Intelligence (in two volumes) prompts readers to look at these problems from a non-traditional angle. It takes a step

Nature-Inspired Algorithms and Applied Optimization

Nature-Inspired Algorithms and Applied Optimization
  • Author : Xin-She Yang
  • Publisher : Springer
  • Release : 08 October 2017
GET THIS BOOKNature-Inspired Algorithms and Applied Optimization

This book reviews the state-of-the-art developments in nature-inspired algorithms and their applications in various disciplines, ranging from feature selection and engineering design optimization to scheduling and vehicle routing. It introduces each algorithm and its implementation with case studies as well as extensive literature reviews, and also includes self-contained chapters featuring theoretical analyses, such as convergence analysis and no-free-lunch theorems so as to provide insights into the current nature-inspired optimization algorithms. Topics include ant colony optimization, the bat algorithm, B-spline curve

Applied Optimization and Swarm Intelligence

Applied Optimization and Swarm Intelligence
  • Author : Eneko Osaba,Xin-She Yang
  • Publisher : Springer Nature
  • Release : 17 May 2021
GET THIS BOOKApplied Optimization and Swarm Intelligence

This book gravitates on the prominent theories and recent developments of swarm intelligence methods, and their application in both synthetic and real-world optimization problems. The special interest will be placed in those algorithmic variants where biological processes observed in nature have underpinned the core operators underlying their search mechanisms. In other words, the book centers its attention on swarm intelligence and nature-inspired methods for efficient optimization and problem solving. The content of this book unleashes a great opportunity for researchers,

Nature-Inspired Computing

Nature-Inspired Computing
  • Author : Nazmul H. Siddique,Hojjat Adeli
  • Publisher : CRC Press
  • Release : 19 May 2017
GET THIS BOOKNature-Inspired Computing

Nature-Inspired Computing: Physics and Chemistry-Based Algorithms provides a comprehensive introduction to the methodologies and algorithms in nature-inspired computing, with an emphasis on applications to real-life engineering problems. The research interest for Nature-inspired Computing has grown considerably exploring different phenomena observed in nature and basic principles of physics, chemistry, and biology. The discipline has reached a mature stage and the field has been well-established. This endeavour is another attempt at investigation into various computational schemes inspired from nature, which are presented

Intelligent Information and Database Systems

Intelligent Information and Database Systems
  • Author : Ngoc Thanh Nguyen,Kietikul Jearanaitanakij,Ali Selamat,Bogdan Trawiński,Suphamit Chittayasothorn
  • Publisher : Springer Nature
  • Release : 03 March 2020
GET THIS BOOKIntelligent Information and Database Systems

The two-volume set LNAI 12033 and 11034 constitutes the refereed proceedings of the 12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020, held in Phuket, Thailand, in March 2020. The total of 105 full papers accepted for publication in these proceedings were carefully reviewed and selected from 285 submissions. The papers of the first volume are organized in the following topical sections: Knowledge Engineering and Semantic Web, Natural Language Processing, Decision Support and Control Systems, Computer Vision Techniques, Machine Learning and Data Mining, Deep

Intelligent Data Engineering and Automated Learning – IDEAL 2020

Intelligent Data Engineering and Automated Learning – IDEAL 2020
  • Author : Cesar Analide,Paulo Novais,David Camacho,Hujun Yin
  • Publisher : Springer Nature
  • Release : 29 October 2020
GET THIS BOOKIntelligent Data Engineering and Automated Learning – IDEAL 2020

This two-volume set of LNCS 12489 and 12490 constitutes the thoroughly refereed conference proceedings of the 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020, held in Guimaraes, Portugal, in November 2020.* The 93 papers presented were carefully reviewed and selected from 134 submissions. These papers provided a timely sample of the latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2020 include big data challenges, machine learning, data mining, information retrieval and

Progress in Advanced Computing and Intelligent Engineering

Progress in Advanced Computing and Intelligent Engineering
  • Author : Chhabi Rani Panigrahi,Bibudhendu Pati,Binod Kumar Pattanayak,Seeven Amic,Kuan-Ching Li
  • Publisher : Springer Nature
  • Release : 15 April 2021
GET THIS BOOKProgress in Advanced Computing and Intelligent Engineering

This book focuses on theory, practice and applications in the broad areas of advanced computing techniques and intelligent engineering. This book includes 74 scholarly articles which were accepted for presentation from 294 submissions in the 5th ICACIE during 25–27 June 2020 at Université des Mascareignes (UdM), Mauritius, in collaboration with Rama Devi Women’s University, Bhubaneswar, India, and S‘O’A Deemed to be University, Bhubaneswar, India. This book brings together academicians, industry persons, research scholars and students to share and disseminate their knowledge

Computational Collective Intelligence

Computational Collective Intelligence
  • Author : Ngoc Thanh Nguyen,Richard Chbeir,Ernesto Exposito,Philippe Aniorté,Bogdan Trawiński
  • Publisher : Springer Nature
  • Release : 28 August 2019
GET THIS BOOKComputational Collective Intelligence

This two-volume set (LNAI 11683 and LNAI 11684) constitutes the refereed proceedings of the 11th International Conference on Computational Collective Intelligence, ICCCI 2019, held in Hendaye France, in September 2019.The 117 full papers presented were carefully reviewed and selected from 204 submissions. The papers are grouped in topical sections on: knowledge engineering and semantic web; social networks and recommender systems; text processing and information retrieval; data mining methods and applications; computer vision techniques; decision support and control systems; cooperative strategies for decision making and optimization;

Fuzzy Modeling and Control: Theory and Applications

Fuzzy Modeling and Control: Theory and Applications
  • Author : Fernando Matía,G. Nicolás Marichal,Emilio Jiménez
  • Publisher : Springer
  • Release : 14 August 2014
GET THIS BOOKFuzzy Modeling and Control: Theory and Applications

Much work on fuzzy control, covering research, development and applications, has been developed in Europe since the 90's. Nevertheless, the existing books in the field are compilations of articles without interconnection or logical structure or they express the personal point of view of the author. This book compiles the developments of researchers with demonstrated experience in the field of fuzzy control following a logic structure and a unified the style. The first chapters of the book are dedicated to the