Intelligent Control Design And Matlab Simulation
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Intelligent Control Design And Matlab Simulation
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Author : Jinkun Liu
language : en
Publisher: Springer
Release Date : 2017-09-20
Intelligent Control Design And Matlab Simulation written by Jinkun Liu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-20 with Technology & Engineering categories.
This book offers a comprehensive introduction to intelligent control system design, using MATLAB simulation to verify typical intelligent controller designs. It also uses real-world case studies that present the results of intelligent controller implementations to illustrate the successful application of the theory. Addressing the need for systematic design approaches to intelligent control system design using neural network and fuzzy-based techniques, the book introduces the concrete design method and MATLAB simulation of intelligent control strategies; offers a catalog of implementable intelligent control design methods for engineering applications; provides advanced intelligent controller design methods and their stability analysis methods; and presents a sample simulation and Matlab program for each intelligent control algorithm. The main topics addressed are expert control, fuzzy logic control, adaptive fuzzy control, neural network control, adaptive neural control and intelligent optimization algorithms, providing several engineering application examples for each method.
Intelligent Control
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Author : Zi-Xing Cai
language : en
Publisher: World Scientific
Release Date : 1997
Intelligent Control written by Zi-Xing Cai and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Technology & Engineering categories.
Introducton; Methology of knowledge representation; General inference principles; Hierarchical control systems; Expert control systems; Fuzzy control systems; Neurocontrol systems; Learning control systems; Intelligente control systems in application; Prospectives of intelligente control; References; Bibliography; Subject index.
Intelligent Control Systems Using Computational Intelligence Techniques
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Author : A.E. Ruano
language : en
Publisher: IET
Release Date : 2005-07-18
Intelligent Control Systems Using Computational Intelligence Techniques written by A.E. Ruano and has been published by IET this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-07-18 with Computers categories.
Intelligent Control techniques are becoming important tools in both academia and industry. Methodologies developed in the field of soft-computing, such as neural networks, fuzzy systems and evolutionary computation, can lead to accommodation of more complex processes, improved performance and considerable time savings and cost reductions. Intelligent Control Systems using Computational Intellingence Techniques details the application of these tools to the field of control systems. Each chapter gives and overview of current approaches in the topic covered, with a set of the most important references in the field, and then details the author's approach, examining both the theory and practical applications.
Modeling Analysis And Design Of Control Systems In Matlab And Simulink
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Author : Dingyü Xue
language : en
Publisher: World Scientific Publishing Company
Release Date : 2014-09
Modeling Analysis And Design Of Control Systems In Matlab And Simulink written by Dingyü Xue and has been published by World Scientific Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09 with Automatic control categories.
MATLAB and Simulink are now being used extensively in not only academia as a teaching aid, a learning aid and a research tool but also industry for modeling, analysis, design and rapid prototyping. As a response, Modeling, Analysis and Design of Control Systems in MATLAB and Simulink emphasizes on practical use of and problem solving in MATLAB and Simulink following the so-called MAD (modeling, analysis and design) notion. Readers can not only learn the control concepts and problem solving methods but also coding skills by following the numerous inline MATLAB scripts, functions, reproducible examples as well as chapter-end Problems. The book service website contains Solution Manual, 1, 000 plus teaching/learning PPTs, and all related codes used in the book for reproducing the examples.Modeling, Analysis and Design of Control Systems in MATLAB and Simulink has 12 chapters organized in 5 parts: Foundation, Modeling, Analysis, Design and Rapid Prototyping. Each chapter ends with Problems section. This book can be used as a reference text in the introductory control course for undergraduates in all engineering schools. The coverage of topics is broad, yet balanced, and it should provide a solid foundation for the subsequent control engineering practice in both industry and research institutes. This book will be a good desktop reference for control engineers and many codes and tools in this book may be directly applicable in real world problem solving.
Dynamic Modeling And Neural Network Based Intelligent Control Of Flexible Systems
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Author : Hejia Gao
language : en
Publisher: John Wiley & Sons
Release Date : 2025-01-09
Dynamic Modeling And Neural Network Based Intelligent Control Of Flexible Systems written by Hejia Gao and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-09 with Technology & Engineering categories.
Comprehensive treatment of several representative flexible systems, ranging from dynamic modeling and intelligent control design through to stability analysis Fully illustrated throughout, Dynamic Modeling and Neural Network-Based Intelligent Control of Flexible Systems proposes high-efficiency modeling methods and novel intelligent control strategies for several representative flexible systems developed by means of neural networks. It discusses tracking control of multi-link flexible manipulators, vibration control of flexible buildings under natural disasters, and fault-tolerant control of bionic flexible flapping-wing aircraft and addresses common challenges like external disturbances, dynamic uncertainties, output constraints, and actuator faults. Expanding on its theoretical deliberations, the book includes many case studies demonstrating how the proposed approaches work in practice. Experimental investigations are carried out on Quanser Rotary Flexible Link, Quanser 2 DOF Serial Flexible Link, Quanser Active Mass Damper, and Quanser Smart Structure platforms. The book starts by providing an overview of dynamic modeling and intelligent control of flexible systems, introducing several important issues, along with modeling and control methods of three typical flexible systems. Other topics include: Foundational mathematical preliminaries including the Hamilton principle, model discretization methods, Lagrange’s equation method, and Lyapunov’s stability theorem Dynamic modeling of a single-link flexible robotic manipulator and vibration control design for a string with the boundary time-varying output constraint Unknown time-varying disturbances, such as earthquakes and strong winds, and how to suppress them and use MATLAB and Quanser to verify effectiveness of a proposed control Adaptive vibration control methods for a single-floor building-like structure equipped with an active mass damper (AMD) Dynamic Modeling and Neural Network-Based Intelligent Control of Flexible Systems is an invaluable resource for researchers and engineers seeking high-efficiency modeling methods and neural-network-based control solutions for flexible systems, along with industry engineers and researchers who are interested in control theory and applications and students in related programs of study.
Computational Intelligence And Optimization Methods For Control Engineering
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Author : Maude Josée Blondin
language : en
Publisher: Springer Nature
Release Date : 2019-09-20
Computational Intelligence And Optimization Methods For Control Engineering written by Maude Josée Blondin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-20 with Mathematics categories.
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 specific applications.
Type 2 Fuzzy Logic In Intelligent Control Applications
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Author : Oscar Castillo
language : en
Publisher: Springer
Release Date : 2011-11-08
Type 2 Fuzzy Logic In Intelligent Control Applications written by Oscar Castillo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11-08 with Computers categories.
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.
Intelligent Systems And Control Principles And Applications
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Author : Laxmidhar Behera
language : en
Publisher: OUP India
Release Date : 2009-12-24
Intelligent Systems And Control Principles And Applications written by Laxmidhar Behera and has been published by OUP India this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12-24 with Technology & Engineering categories.
Intelligent Systems and Control: Principles and Applications is a textbook for undergraduate level courses on intelligent control, intelligent systems, adaptive control, and non-linear control. The book covers primers in neural networks, fuzzy logic, and non-linear control so that readers can easily follow intelligent control techniques.
Handbook Of Research On Advanced Intelligent Control Engineering And Automation
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Author : Azar, Ahmad Taher
language : en
Publisher: IGI Global
Release Date : 2014-11-30
Handbook Of Research On Advanced Intelligent Control Engineering And Automation written by Azar, Ahmad Taher and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-30 with Technology & Engineering categories.
In industrial engineering and manufacturing, control of individual processes and systems is crucial to developing a quality final product. Rapid developments in technology are pioneering new techniques of research in control and automation with multi-disciplinary applications in electrical, electronic, chemical, mechanical, aerospace, and instrumentation engineering. The Handbook of Research on Advanced Intelligent Control Engineering and Automation presents the latest research into intelligent control technologies with the goal of advancing knowledge and applications in various domains. This text will serve as a reference book for scientists, engineers, and researchers, as it features many applications of new computational and mathematical tools for solving complicated problems of mathematical modeling, simulation, and control.
Advances In Control Power Systems And Emerging Technologies
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Author : Mohamed Bendaoud
language : en
Publisher: Springer Nature
Release Date : 2024-05-31
Advances In Control Power Systems And Emerging Technologies written by Mohamed Bendaoud and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-31 with Technology & Engineering categories.
This edited book is an outcome of the selected papers presented at the International Conference on Electrical Systems & Automation, (ICESA 2023) held from 29 to 30 May 2023 at the Faculty of Sciences and Technologies, Al Hoceïma, Morocco. This edited book is divided into two volumes. This volume is divided into four parts, each devoted to distinct yet interconnected aspects of the subject matter. The first part presents the control of electrical machines and power converters. It covers a comparative study of different control approaches, including Proportional-Integral (PI), Fuzzy Logic, and Neural Fuzzy Logic Controllers for Boost Converters. It also presents an innovative approach for single-phase half-bridge inverters and improved direct torque control of dual three-phase permanent magnet synchronous motors. Part 2 of the book, titled "Control Systems & Automation", thoroughly explores advanced control and automation technologies in electrical systems. These chapters collectivelyshowcase the latest developments and research across various engineering domains. Several control approaches have been discussed such as fuzzy control, sliding mode control, artificial neural networks (ANN), and machine learning. The third part highlights emerging technologies and applications in various fields such as mobile robots, industry 4.0, agriculture, and health. The chapters cover a wide range of topics, including intelligent navigation for autonomous robots, self-driving car perception and pedestrian detection, machine learning for cloud and IoT-based smart agriculture, outdoor navigation systems for micro-tractors, healthcare intelligent systems for melanoma image classification, maximizing the performance of Light Emitting Diode Luminaires. The research explores innovative solutions and technologies in different domains, aiming to improve functionality in various applications. Part 4 of this book is dedicated to "Advanced Wireless Communication and Antenna Technology". This part explores cutting-edge developments and innovations in the realm of wireless communication and antenna design, with a focus on their applications and impact in various fields.