Nature Inspired Optimization Algorithms For Fuzzy Controlled Servo Systems

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Nature-Inspired Optimization Algorithms for Fuzzy Controlled Servo Systems

Radu-Emil Precup,Radu-Codrut David
Nature Inspired Optimization Algorithms for Fuzzy Controlled Servo Systems Book PDF

Author : Radu-Emil Precup,Radu-Codrut David
Publisher : Butterworth-Heinemann
Page : 148 pages
File Size : 48,6 Mb
Release : 2019-05-15
Category : Technology & Engineering
ISBN : 9780128163580

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Nature-Inspired Optimization Algorithms for Fuzzy Controlled Servo Systems by Radu-Emil Precup,Radu-Codrut David Pdf

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

Data-Driven Model-Free Controllers

Radu-Emil Precup,Raul-Cristian Roman,Ali Safaei
Data Driven Model Free Controllers Book PDF

Author : Radu-Emil Precup,Raul-Cristian Roman,Ali Safaei
Publisher : CRC Press
Page : 402 pages
File Size : 44,8 Mb
Release : 2021-12-27
Category : Technology & Engineering
ISBN : 9781000519587

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Data-Driven Model-Free Controllers by Radu-Emil Precup,Raul-Cristian Roman,Ali Safaei Pdf

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, being generic as it includes several types of data-driven model-free controllers, such as Iterative Feedback Tuning controllers, Model-Free Controllers (intelligent PID controllers), Model-Free Adaptive Controllers, model-free sliding mode controllers, hybrid model‐free and model‐free adaptive‐Virtual Reference Feedback Tuning controllers, hybrid model-free and model-free adaptive fuzzy controllers and cooperative model-free controllers. The book includes the topic of optimal model-free controllers, as well. The optimal tuning of model-free controllers is treated in the chapters that deal with Iterative Feedback Tuning and Virtual Reference Feedback Tuning. Moreover, the extension of some model-free control algorithms to the consensus and formation-tracking problem of multi-agent dynamic systems is provided. This book can be considered as a textbook for undergraduate and postgraduate students, as well as a professional reference for industrial and academic researchers, attracting the readers from both industry and academia.

Multi-Objective Optimization System Designs and Their Applications

Bor-Sen Chen
Multi Objective Optimization System Designs and Their Applications Book PDF

Author : Bor-Sen Chen
Publisher : CRC Press
Page : 292 pages
File Size : 48,5 Mb
Release : 2023-12-05
Category : Technology & Engineering
ISBN : 9781000999525

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Multi-Objective Optimization System Designs and Their Applications by Bor-Sen Chen Pdf

This book introduces multi-objective design methods to solve multi-objective optimization problems (MOPs) of linear/nonlinear dynamic systems under intrinsic random fluctuation and external disturbance. The MOPs of multiple targets for systems are all transformed into equivalent linear matrix inequality (LMI)-constrained MOPs. Corresponding reverse-order LMI-constrained multi-objective evolution algorithms are introduced to solve LMI-constrained MOPs using MATLAB®. All proposed design methods are based on rigorous theoretical results, and their applications are focused on more practical engineering design examples. Features: Discusses multi-objective optimization from an engineer’s perspective. Contains the theoretical design methods of multi-objective optimization schemes. Includes a wide spectrum of recent research topics in control design, especially for stochastic mean field diffusion problems. Covers practical applications in each chapter, like missile guidance design, economic and financial systems, power control tracking, minimization design in communication, and so forth. Explores practical multi-objective optimization design examples in control, signal processing, communication, and cyber-financial systems. This book is aimed at researchers and graduate students in electrical engineering, control design, and optimization.

Handbook On Computer Learning And Intelligence (In 2 Volumes)

Plamen Parvanov Angelov
Handbook On Computer Learning And Intelligence In 2 Volumes Book PDF

Author : Plamen Parvanov Angelov
Publisher : World Scientific
Page : 1057 pages
File Size : 45,8 Mb
Release : 2022-06-29
Category : Computers
ISBN : 9789811247330

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Handbook On Computer Learning And Intelligence (In 2 Volumes) by Plamen Parvanov Angelov Pdf

The Handbook on Computer Learning and Intelligence is a second edition which aims to be a one-stop-shop for the various aspects of the broad research area of computer learning and intelligence. This field of research evolved so much in the last five years that it necessitates this new edition of the earlier Handbook on Computational Intelligence.This two-volume handbook is divided into five parts. Volume 1 covers Explainable AI and Supervised Learning. Volume 2 covers three parts: Deep Learning, Intelligent Control, and Evolutionary Computation. The chapters detail the theory, methodology and applications of computer learning and intelligence, and are authored by some of the leading experts in the respective areas. The fifteen core chapters of the previous edition have been written and significantly refreshed by the same authors. Parts of the handbook have evolved to keep pace with the latest developments in computational intelligence in the areas that span across Machine Learning and Artificial Intelligence. The Handbook remains dedicated to applications and engineering-orientated aspects of these areas over abstract theories.Related Link(s)

Nature-Inspired Computation and Swarm Intelligence

Xin-She Yang
Nature Inspired Computation and Swarm Intelligence Book PDF

Author : Xin-She Yang
Publisher : Academic Press
Page : 442 pages
File Size : 50,5 Mb
Release : 2020-04-24
Category : Computers
ISBN : 9780128197141

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Nature-Inspired Computation and Swarm Intelligence by Xin-She Yang Pdf

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 algorithms and their theoretical analysis, as well as providing a guide to their implementation. The book includes case studies of diverse real-world applications, balancing explanation of the theory with practical implementation. Nature-Inspired Computation and Swarm Intelligence: Algorithms, Theory and Applications is suitable for researchers and graduate students in computer science, engineering, data science, and management science, who want a comprehensive review of algorithms, theory and implementation within the fields of nature inspired computation and swarm intelligence. Introduces nature-inspired algorithms and their fundamentals, including: particle swarm optimization, bat algorithm, cuckoo search, firefly algorithm, flower pollination algorithm, differential evolution and genetic algorithms as well as multi-objective optimization algorithms and others Provides a theoretical foundation and analyses of algorithms, including: statistical theory and Markov chain theory on the convergence and stability of algorithms, dynamical system theory, benchmarking of optimization, no-free-lunch theorems, and a generalized mathematical framework Includes a diversity of case studies of real-world applications: feature selection, clustering and classification, tuning of restricted Boltzmann machines, travelling salesman problem, classification of white blood cells, music generation by artificial intelligence, swarm robots, neural networks, engineering designs and others

Nature-Inspired Computation in Navigation and Routing Problems

Xin-She Yang,Yu-Xin Zhao
Nature Inspired Computation in Navigation and Routing Problems Book PDF

Author : Xin-She Yang,Yu-Xin Zhao
Publisher : Springer Nature
Page : 230 pages
File Size : 46,6 Mb
Release : 2020-02-19
Category : Technology & Engineering
ISBN : 9789811518423

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Nature-Inspired Computation in Navigation and Routing Problems by Xin-She Yang,Yu-Xin Zhao Pdf

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.

Chemical Optimization Algorithm for Fuzzy Controller Design

Leslie Astudillo,Patricia Melin,Oscar Castillo
Chemical Optimization Algorithm for Fuzzy Controller Design Book PDF

Author : Leslie Astudillo,Patricia Melin,Oscar Castillo
Publisher : Springer Science & Business Media
Page : 77 pages
File Size : 44,8 Mb
Release : 2014-03-13
Category : Technology & Engineering
ISBN : 9783319052458

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Chemical Optimization Algorithm for Fuzzy Controller Design by Leslie Astudillo,Patricia Melin,Oscar Castillo Pdf

In this book, a novel optimization method inspired by a paradigm from nature is introduced. The chemical reactions are used as a paradigm to propose an optimization method that simulates these natural processes. The proposed algorithm is described in detail and then a set of typical complex benchmark functions is used to evaluate the performance of the algorithm. Simulation results show that the proposed optimization algorithm can outperform other methods in a set of benchmark functions. This chemical reaction optimization paradigm is also applied to solve the tracking problem for the dynamic model of a unicycle mobile robot by integrating a kinematic and a torque controller based on fuzzy logic theory. Computer simulations are presented confirming that this optimization paradigm is able to outperform other optimization techniques applied to this particular robot application.

Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm

Leticia Amador,Oscar Castillo
Optimization of Type 2 Fuzzy Controllers Using the Bee Colony Algorithm Book PDF

Author : Leticia Amador,Oscar Castillo
Publisher : Springer
Page : 71 pages
File Size : 40,5 Mb
Release : 2017-04-27
Category : Technology & Engineering
ISBN : 9783319542959

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Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm by Leticia Amador,Oscar Castillo Pdf

This book focuses on the fields of fuzzy logic, bio-inspired algorithm; especially bee colony optimization algorithm and also considering the fuzzy control area. The main idea is that this areas together can to solve various control problems and to find better results. In this book we test the proposed method using two benchmark problems; the problem for filling a water tank and the problem for controlling the trajectory in an autonomous mobile robot. When Interval Type-2 Fuzzy Logic System is implemented to model the behavior of systems, the results show a better stabilization, because the analysis of uncertainty is better. For this reason we consider in this book the proposed method using fuzzy systems, fuzzy controllers, and bee colony optimization algorithm improve the behavior of the complex control problems.

Intelligent Data Engineering and Automated Learning – IDEAL 2021

Hujun Yin,David Camacho,Peter Tino,Richard Allmendinger,Antonio J. Tallón-Ballesteros,Ke Tang,Sung-Bae Cho,Paulo Novais,Susana Nascimento
Intelligent Data Engineering and Automated Learning IDEAL 2021 Book PDF

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
Page : 663 pages
File Size : 50,6 Mb
Release : 2021-11-23
Category : Computers
ISBN : 9783030916084

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Intelligent Data Engineering and Automated Learning – IDEAL 2021 by Hujun Yin,David Camacho,Peter Tino,Richard Allmendinger,Antonio J. Tallón-Ballesteros,Ke Tang,Sung-Bae Cho,Paulo Novais,Susana Nascimento Pdf

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 held on clustering for interpretable machine learning; machine learning towards smarter multimodal systems; and computational intelligence for computer vision and image processing.

Intelligent Data Engineering and Automated Learning – IDEAL 2020

Cesar Analide,Paulo Novais,David Camacho,Hujun Yin
Intelligent Data Engineering and Automated Learning IDEAL 2020 Book PDF

Author : Cesar Analide,Paulo Novais,David Camacho,Hujun Yin
Publisher : Springer Nature
Page : 424 pages
File Size : 51,6 Mb
Release : 2020-10-29
Category : Computers
ISBN : 9783030623623

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Intelligent Data Engineering and Automated Learning – IDEAL 2020 by Cesar Analide,Paulo Novais,David Camacho,Hujun Yin Pdf

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 management, bio-/neuro-informatics, bio-inspiredmodels, agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI. * The conference was held virtually due to the COVID-19 pandemic.

Type-2 Fuzzy Logic in Intelligent Control Applications

Oscar Castillo
Type 2 Fuzzy Logic in Intelligent Control Applications Book PDF

Author : Oscar Castillo
Publisher : Springer
Page : 190 pages
File Size : 55,5 Mb
Release : 2011-11-08
Category : Technology & Engineering
ISBN : 9783642246630

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Type-2 Fuzzy Logic in Intelligent Control Applications by Oscar Castillo Pdf

We describe in this book, hybrid intelligent systems based mainly on type-2 fuzzy logic for intelligent control. Hybrid intelligent systems combine several intelligent computing paradigms, including fuzzy logic, and bio-inspired optimization algorithms, which can be used to produce powerful automatic control systems. The book is organized in three main parts, which contain a group of chapters around a similar subject. The first part consists of chapters with the main theme of theory and design algorithms, which are basically chapters that propose new models and concepts, which can be the basis for achieving intelligent control with interval type-2 fuzzy logic. The second part of the book is comprised of chapters with the main theme of evolutionary optimization of type-2 fuzzy systems in intelligent control with the aim of designing optimal type-2 fuzzy controllers for complex control problems in diverse areas of application, including mobile robotics, aircraft dynamics systems and hardware implementations. The third part of the book is formed with chapters dealing with the theme of bio-inspired optimization of type-2 fuzzy systems in intelligent control, which includes the application of particle swarm intelligence and ant colony optimization algorithms for obtaining optimal type-2 fuzzy controllers.

Nature-Inspired Computing for Control Systems

Hiram Eredín Ponce Espinosa
Nature Inspired Computing for Control Systems Book PDF

Author : Hiram Eredín Ponce Espinosa
Publisher : Springer
Page : 289 pages
File Size : 51,7 Mb
Release : 2015-12-16
Category : Technology & Engineering
ISBN : 9783319262307

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Nature-Inspired Computing for Control Systems by Hiram Eredín Ponce Espinosa Pdf

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 expected to motivate readers with a background in conventional control systems to try out these powerful techniques inspired by nature. On the other side, the book provides advanced readers with a deeper understanding of the field and a broad spectrum of different methods and techniques. All in all, the book is an outstanding, practice-oriented reference guide to nature-inspired computing addressing graduate students, researchers and practitioners in the field of control engineering.

Handbook of Nature-Inspired Optimization Algorithms: The State of the Art

Ali Wagdy Mohamed,Diego Oliva,Ponnuthurai Nagaratnam Suganthan
Handbook of Nature Inspired Optimization Algorithms The State of the Art Book PDF

Author : Ali Wagdy Mohamed,Diego Oliva,Ponnuthurai Nagaratnam Suganthan
Publisher : Springer Nature
Page : 220 pages
File Size : 45,7 Mb
Release : 2022-09-03
Category : Technology & Engineering
ISBN : 9783031075162

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Handbook of Nature-Inspired Optimization Algorithms: The State of the Art by Ali Wagdy Mohamed,Diego Oliva,Ponnuthurai Nagaratnam Suganthan Pdf

This book presents recent contributions and significant development, advanced issues, and challenges. In real-world problems and applications, most of the optimization problems involve different types of constraints. These problems are called constrained optimization problems (COPs). The optimization of the constrained optimization problems is considered a challenging task since the optimum solution(s) must be feasible. In their original design, evolutionary algorithms (EAs) are able to solve unconstrained optimization problems effectively. As a result, in the past decade, many researchers have developed a variety of constraint handling techniques, incorporated into (EAs) designs, to counter this deficiency. The main objective for this book is to make available a self-contained collection of modern research addressing the general constrained optimization problems in many real-world applications using nature-inspired optimization algorithms. This book is suitable for a graduate class on optimization, but will also be useful for interested senior students working on their research projects.

Recent Advances in Interval Type-2 Fuzzy Systems

Oscar Castillo,Patricia Melin
Recent Advances in Interval Type 2 Fuzzy Systems Book PDF

Author : Oscar Castillo,Patricia Melin
Publisher : Springer Science & Business Media
Page : 93 pages
File Size : 41,9 Mb
Release : 2012-04-23
Category : Technology & Engineering
ISBN : 9783642289569

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Recent Advances in Interval Type-2 Fuzzy Systems by Oscar Castillo,Patricia Melin Pdf

This book reviews current state of the art methods for building intelligent systems using type-2 fuzzy logic and bio-inspired optimization techniques. Combining type-2 fuzzy logic with optimization algorithms, powerful hybrid intelligent systems have been built using the advantages that each technique offers. This book is intended to be a reference for scientists and engineers interested in applying type-2 fuzzy logic for solving problems in pattern recognition, intelligent control, intelligent manufacturing, robotics and automation. This book can also be used as a reference for graduate courses like the following: soft computing, intelligent pattern recognition, computer vision, applied artificial intelligence, and similar ones. We consider that this book can also be used to get novel ideas for new lines of re-search, or to continue the lines of research proposed by the authors.

Intelligent Control

Kaushik Das Sharma,Amitava Chatterjee,Anjan Rakshit
Intelligent Control Book PDF

Author : Kaushik Das Sharma,Amitava Chatterjee,Anjan Rakshit
Publisher : Springer
Page : 302 pages
File Size : 52,7 Mb
Release : 2018-08-28
Category : Technology & Engineering
ISBN : 9789811312984

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Intelligent Control by Kaushik Das Sharma,Amitava Chatterjee,Anjan Rakshit Pdf

This book discusses systematic designs of stable adaptive fuzzy logic controllers employing hybridizations of Lyapunov strategy-based approaches/H∞ theory-based approaches and contemporary stochastic optimization techniques. The text demonstrates how candidate stochastic optimization techniques like Particle swarm optimization (PSO), harmony search (HS) algorithms, covariance matrix adaptation (CMA) etc. can be utilized in conjunction with the Lyapunov theory/H∞ theory to develop such hybrid control strategies. The goal of developing a series of such hybridization processes is to combine the strengths of both Lyapunov theory/H∞ theory-based local search methods and stochastic optimization-based global search methods, so as to attain superior control algorithms that can simultaneously achieve desired asymptotic performance and provide improved transient responses. The book also demonstrates how these intelligent adaptive control algorithms can be effectively utilized in real-life applications such as in temperature control for air heater systems with transportation delay, vision-based navigation of mobile robots, intelligent control of robot manipulators etc.