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Nature Inspired Optimization Algorithms for Fuzzy Controlled Servo Systems

Nature Inspired Optimization Algorithms for Fuzzy Controlled Servo Systems
  • Author : Radu-Emil Precup
  • Publsiher : Butterworth-Heinemann
  • Release : 19 April 2019
  • ISBN : 0128166061
  • Pages : 148 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKNature Inspired Optimization Algorithms for Fuzzy Controlled Servo Systems

Summary:
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


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),

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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

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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.

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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

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Computational Collective Intelligence

Computational Collective Intelligence
  • Author : Ngoc Thanh Nguyen,Richard Chbeir,Ernesto Exposito,Philippe Aniorté,Bogdan Trawiński
  • Publisher : Springer Nature
  • Release : 04 October 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;

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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

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Nature-Inspired Computing for Control Systems

Nature-Inspired Computing for Control Systems
  • Author : Hiram Eredín Ponce Espinosa
  • Publisher : Springer
  • Release : 16 December 2015
GET THIS BOOKNature-Inspired Computing for Control Systems

The book presents recent advances in nature-inspired computing, giving a special emphasis to control systems applications. It reviews different techniques used for simulating physical, chemical, biological or social phenomena at the purpose of designing robust, predictive and adaptive control strategies. The book is a collection of several contributions, covering either more general approaches in control systems, or methodologies for control tuning and adaptive controllers, as well as exciting applications of nature-inspired techniques in robotics. On one side, the book is

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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

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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

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Nature-Inspired Optimization Algorithms

Nature-Inspired Optimization Algorithms
  • Author : Vasuki A
  • Publisher : CRC Press
  • Release : 31 May 2020
GET THIS BOOKNature-Inspired Optimization Algorithms

Nature-Inspired Optimization Algorithms, a comprehensive work on the most popular optimization algorithms based on nature, starts with an overview of optimization going from the classical to the latest swarm intelligence algorithm. Nature has a rich abundance of flora and fauna that inspired the development of optimization techniques, providing us with simple solutions to complex problems in an effective and adaptive manner. The study of the intelligent survival strategies of animals, birds, and insects in a hostile and ever-changing environment has

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Model Free Adaptive Control

Model Free Adaptive Control
  • Author : Zhongsheng Hou,Shangtai Jin
  • Publisher : CRC Press
  • Release : 24 September 2013
GET THIS BOOKModel Free Adaptive Control

Model Free Adaptive Control: Theory and Applications summarizes theory and applications of model-free adaptive control (MFAC). MFAC is a novel adaptive control method for the unknown discrete-time nonlinear systems with time-varying parameters and time-varying structure, and the design and analysis of MFAC merely depend on the measured input and output data of the controlled plant, which makes it more applicable for many practical plants. This book covers new concepts, including pseudo partial derivative, pseudo gradient, pseudo Jacobian matrix, and generalized

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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

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