Intelligent Control Design And Matlab Simulation

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Intelligent Control Design and MATLAB Simulation

Author : Jinkun Liu
Publisher : Springer
Page : 290 pages
File Size : 52,7 Mb
Release : 2017-09-20
Category : Technology & Engineering
ISBN : 9789811052637

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Intelligent Control Design and MATLAB Simulation by Jinkun Liu Pdf

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 Systems Using Soft Computing Methodologies

Author : Ali Zilouchian,Mo Jamshidi
Publisher : CRC Press
Page : 504 pages
File Size : 44,9 Mb
Release : 2001-03-27
Category : Technology & Engineering
ISBN : 9781420058147

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Intelligent Control Systems Using Soft Computing Methodologies by Ali Zilouchian,Mo Jamshidi Pdf

In recent years, intelligent control has emerged as one of the most active and fruitful areas of research and development. Until now, however, there has been no comprehensive text that explores the subject with focus on the design and analysis of biological and industrial applications. Intelligent Control Systems Using Soft Computing Methodologies does all that and more. Beginning with an overview of intelligent control methodologies, the contributors present the fundamentals of neural networks, supervised and unsupervised learning, and recurrent networks. They address various implementation issues, then explore design and verification of neural networks for a variety of applications, including medicine, biology, digital signal processing, object recognition, computer networking, desalination technology, and oil refinery and chemical processes. The focus then shifts to fuzzy logic, with a review of the fundamental and theoretical aspects, discussion of implementation issues, and examples of applications, including control of autonomous underwater vehicles, navigation of space vehicles, image processing, robotics, and energy management systems. The book concludes with the integration of genetic algorithms into the paradigm of soft computing methodologies, including several more industrial examples, implementation issues, and open problems and open problems related to intelligent control technology. Suitable as a textbook or a reference, Intelligent Control Systems explores recent advances in the field from both the theoretical and the practical viewpoints. It also integrates intelligent control design methodologies to give designers a set of flexible, robust controllers and provide students with a tool for solving the examples and exercises within the book.

Linear Feedback Control

Author : Dingyu Xue,YangQuan Chen,Derek P. Atherton
Publisher : SIAM
Page : 361 pages
File Size : 41,9 Mb
Release : 2007-01-01
Category : Mathematics
ISBN : 9780898716382

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Linear Feedback Control by Dingyu Xue,YangQuan Chen,Derek P. Atherton Pdf

Less mathematics and more working examples make this textbook suitable for almost any type of user.

Data Science

Author : Yang Wang,Guobin Zhu,Qilong Han,Liehui Zhang,Xianhua Song,Zeguang Lu
Publisher : Springer Nature
Page : 520 pages
File Size : 47,5 Mb
Release : 2022-08-10
Category : Computers
ISBN : 9789811952098

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Data Science by Yang Wang,Guobin Zhu,Qilong Han,Liehui Zhang,Xianhua Song,Zeguang Lu Pdf

This two volume set (CCIS 1628 and 1629) constitutes the refereed proceedings of the 8th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2022 held in Chengdu, China, in August, 2022. The 65 full papers and 26 short papers presented in these two volumes were carefully reviewed and selected from 261 submissions. The papers are organized in topical sections on: Big Data Management and Applications; Data Security and Privacy; Applications of Data Science; Infrastructure for Data Science; Education Track; Regulatory Technology in Finance.

Computational Intelligence and Optimization Methods for Control Engineering

Author : Maude Josée Blondin,Panos M. Pardalos,Javier Sanchis Sáez
Publisher : Springer Nature
Page : 355 pages
File Size : 53,7 Mb
Release : 2019-09-20
Category : Mathematics
ISBN : 9783030254469

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Computational Intelligence and Optimization Methods for Control Engineering by Maude Josée Blondin,Panos M. Pardalos,Javier Sanchis Sáez Pdf

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.

Advances in Robot Design and Intelligent Control

Author : Aleksandar Rodić,Theodor Borangiu
Publisher : Springer
Page : 649 pages
File Size : 50,8 Mb
Release : 2016-11-26
Category : Technology & Engineering
ISBN : 9783319490588

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Advances in Robot Design and Intelligent Control by Aleksandar Rodić,Theodor Borangiu Pdf

This book presents the proceedings of the 25th International Conference on Robotics in Alpe-Adria-Danube Region, RAAD 2016 held in Belgrade, Serbia, on June 30th–July 2nd, 2016. In keeping with the tradition of the event, RAAD 2016 covered all the important areas of research and innovation in new robot designs and intelligent robot control, with papers including Intelligent robot motion control; Robot vision and sensory processing; Novel design of robot manipulators and grippers; Robot applications in manufacturing and services; Autonomous systems, humanoid and walking robots; Human–robot interaction and collaboration; Cognitive robots and emotional intelligence; Medical, human-assistive robots and prosthetic design; Robots in construction and arts, and Evolution, education, legal and social issues of robotics. For the first time in RAAD history, the themes cloud robots, legal and ethical issues in robotics as well as robots in arts were included in the technical program. The book is a valuable resource for researchers in fields of robotics, engineers who implement robotic solutions in manufacturing, services and healthcare, and master’s and Ph.D. students working on robotics projects.

Intelligent Control Systems Using Computational Intelligence Techniques

Author : A.E. Ruano
Publisher : IET
Page : 478 pages
File Size : 47,7 Mb
Release : 2005-07-18
Category : Computers
ISBN : 9780863414893

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Intelligent Control Systems Using Computational Intelligence Techniques by A.E. Ruano Pdf

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.

Optimal Networked Control Systems with MATLAB

Author : Jagannathan Sarangapani,Hao Xu
Publisher : CRC Press
Page : 335 pages
File Size : 46,6 Mb
Release : 2018-09-03
Category : Technology & Engineering
ISBN : 9781482235265

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Optimal Networked Control Systems with MATLAB by Jagannathan Sarangapani,Hao Xu Pdf

Optimal Networked Control Systems with MATLAB® discusses optimal controller design in discrete time for networked control systems (NCS). The authors apply several powerful modern control techniques in discrete time to the design of intelligent controllers for such NCS. Detailed derivations, rigorous stability proofs, computer simulation examples, and downloadable MATLAB® codes are included for each case. The book begins by providing background on NCS, networked imperfections, dynamical systems, stability theory, and stochastic optimal adaptive controllers in discrete time for linear and nonlinear systems. It lays the foundation for reinforcement learning-based optimal adaptive controller use for finite and infinite horizons. The text then: Introduces quantization effects for linear and nonlinear NCS, describing the design of stochastic adaptive controllers for a class of linear and nonlinear systems Presents two-player zero-sum game-theoretic formulation for linear systems in input–output form enclosed by a communication network Addresses the stochastic optimal control of nonlinear NCS by using neuro dynamic programming Explores stochastic optimal design for nonlinear two-player zero-sum games under communication constraints Treats an event-sampled distributed NCS to minimize transmission of state and control signals within the feedback loop via the communication network Covers distributed joint optimal network scheduling and control design for wireless NCS, as well as the effect of network protocols on the wireless NCS controller design An ideal reference for graduate students, university researchers, and practicing engineers, Optimal Networked Control Systems with MATLAB® instills a solid understanding of neural network controllers and how to build them.

Sliding Mode Control Using MATLAB

Author : Jinkun Liu
Publisher : Academic Press
Page : 346 pages
File Size : 43,6 Mb
Release : 2017-05-25
Category : Technology & Engineering
ISBN : 9780128026700

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Sliding Mode Control Using MATLAB by Jinkun Liu Pdf

Sliding Mode Control Using MATLAB provides many sliding mode controller design examples, along with simulation examples and MATLAB® programs. Following the review of sliding mode control, the book includes sliding mode control for continuous systems, robust adaptive sliding mode control, sliding mode control for underactuated systems, backstepping, and dynamic surface sliding mode control, sliding mode control based on filter and observer, sliding mode control for discrete systems, fuzzy sliding mode control, neural network sliding mode control, and sliding mode control for robot manipulators. The contents of each chapter are independent, providing readers with information they can use for their own needs. It is suitable for the readers who work on mechanical and electronic engineering, electrical automation engineering, etc., and can also be used as a teaching reference for universities. Provides many sliding mode controller design examples to help readers solve their research and design problems Includes various, implementable, robust sliding mode control design solutions from engineering applications Provides the simulation examples and MATLAB programs for each sliding mode control algorithm

Automation and Control

Author : Constantin Volosencu,Serdar Küçük,José Guerrero,Oscar Valero
Publisher : BoD – Books on Demand
Page : 422 pages
File Size : 50,6 Mb
Release : 2021-04-21
Category : Technology & Engineering
ISBN : 9781839627132

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Automation and Control by Constantin Volosencu,Serdar Küçük,José Guerrero,Oscar Valero Pdf

The book presents recent theoretical and practical information about the field of automation and control. It includes fifteen chapters that promote automation and control in practical applications in the following thematic areas: control theory, autonomous vehicles, mechatronics, digital image processing, electrical grids, artificial intelligence, and electric motor drives. The book also presents and discusses applications that improve the properties and performances of process control with examples and case studies obtained from real-world research in the field. Automation and Control is designed for specialists, engineers, professors, and students.

Computer-Aided Control Systems Design

Author : Cheng Siong Chin
Publisher : CRC Press
Page : 385 pages
File Size : 55,7 Mb
Release : 2012-12-12
Category : Technology & Engineering
ISBN : 9781466568518

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Computer-Aided Control Systems Design by Cheng Siong Chin Pdf

Computer-Aided Control Systems Design: Practical Applications Using MATLAB® and Simulink® supplies a solid foundation in applied control to help you bridge the gap between control theory and its real-world applications. Working from basic principles, the book delves into control systems design through the practical examples of the ALSTOM gasifier system in power stations and underwater robotic vehicles in the marine industry. It also shows how powerful software such as MATLAB® and Simulink® can aid in control systems design. Make Control Engineering Come Alive with Computer-Aided Software Emphasizing key aspects of the design process, the book covers the dynamic modeling, control structure design, controller design, implementation, and testing of control systems. It begins with the essential ideas of applied control engineering and a hands-on introduction to MATLAB and Simulink. It then discusses the analysis, model order reduction, and controller design for a power plant and the modeling, simulation, and control of a remotely operated vehicle (ROV) for pipeline tracking. The author explains how to obtain the ROV model and verify it by using computational fluid dynamic software before designing and implementing the control system. In addition, the book details the nonlinear subsystem modeling and linearization of the ROV at vertical plane equilibrium points. Throughout, the author delineates areas for further study. Appendices provide additional information on various simulation models and their results. Learn How to Perform Simulations on Real Industry Systems A step-by-step guide to computer-aided applied control design, this book supplies the knowledge to help you deal with control problems in industry. It is a valuable reference for anyone who wants a better understanding of the theory and practice of basic control systems design, analysis, and implementation.

Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control

Author : Oscar Castillo,Witold Pedrycz
Publisher : Springer Science & Business Media
Page : 320 pages
File Size : 47,6 Mb
Release : 2009-10-09
Category : Mathematics
ISBN : 9783642045134

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Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control by Oscar Castillo,Witold Pedrycz Pdf

We describe in this book, new methods for evolutionary design of intelligent s- tems using soft computing and their applications in modeling, simulation and c- trol. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in four main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of evolutionary design of fuzzy systems in intelligent control, which consists of papers that propose new methods for designing and optimizing intelligent controllers for different applications. The second part c- tains papers with the main theme of evolutionary design of intelligent systems for pattern recognition applications, which are basically papers using evolutionary al- rithms for optimizing modular neural networks with fuzzy systems for response - tegration, for achieving pattern recognition in different applications. The third part contains papers with the themes of models for learning and social simulation, which are papers that apply intelligent systems to the problems of designing learning - jects and social agents. The fourth part contains papers that deal with intelligent s- tems in robotics applications and hardware implementations. In the part of Intelligent Control there are 5 papers that describe different c- tributions on evolutionary optimization of fuzzy systems in intelligent control. The first paper, by Ricardo Martinez-Marroquin et al.

Robot Learning Human Skills and Intelligent Control Design

Author : Chenguang Yang,Chao Zeng,Jianwei Zhang
Publisher : CRC Press
Page : 184 pages
File Size : 47,8 Mb
Release : 2021-06-21
Category : Computers
ISBN : 9781000395174

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Robot Learning Human Skills and Intelligent Control Design by Chenguang Yang,Chao Zeng,Jianwei Zhang Pdf

In the last decades robots are expected to be of increasing intelligence to deal with a large range of tasks. Especially, robots are supposed to be able to learn manipulation skills from humans. To this end, a number of learning algorithms and techniques have been developed and successfully implemented for various robotic tasks. Among these methods, learning from demonstrations (LfD) enables robots to effectively and efficiently acquire skills by learning from human demonstrators, such that a robot can be quickly programmed to perform a new task. This book introduces recent results on the development of advanced LfD-based learning and control approaches to improve the robot dexterous manipulation. First, there's an introduction to the simulation tools and robot platforms used in the authors' research. In order to enable a robot learning of human-like adaptive skills, the book explains how to transfer a human user’s arm variable stiffness to the robot, based on the online estimation from the muscle electromyography (EMG). Next, the motion and impedance profiles can be both modelled by dynamical movement primitives such that both of them can be planned and generalized for new tasks. Furthermore, the book introduces how to learn the correlation between signals collected from demonstration, i.e., motion trajectory, stiffness profile estimated from EMG and interaction force, using statistical models such as hidden semi-Markov model and Gaussian Mixture Regression. Several widely used human-robot interaction interfaces (such as motion capture-based teleoperation) are presented, which allow a human user to interact with a robot and transfer movements to it in both simulation and real-word environments. Finally, improved performance of robot manipulation resulted from neural network enhanced control strategies is presented. A large number of examples of simulation and experiments of daily life tasks are included in this book to facilitate better understanding of the readers.

Computer-Aided Control Systems Design

Author : Cheng Siong Chin
Publisher : CRC Press
Page : 385 pages
File Size : 44,7 Mb
Release : 2017-12-19
Category : Technology & Engineering
ISBN : 9781351831901

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Computer-Aided Control Systems Design by Cheng Siong Chin Pdf

Computer-Aided Control Systems Design: Practical Applications Using MATLAB® and Simulink® supplies a solid foundation in applied control to help you bridge the gap between control theory and its real-world applications. Working from basic principles, the book delves into control systems design through the practical examples of the ALSTOM gasifier system in power stations and underwater robotic vehicles in the marine industry. It also shows how powerful software such as MATLAB® and Simulink® can aid in control systems design. Make Control Engineering Come Alive with Computer-Aided Software Emphasizing key aspects of the design process, the book covers the dynamic modeling, control structure design, controller design, implementation, and testing of control systems. It begins with the essential ideas of applied control engineering and a hands-on introduction to MATLAB and Simulink. It then discusses the analysis, model order reduction, and controller design for a power plant and the modeling, simulation, and control of a remotely operated vehicle (ROV) for pipeline tracking. The author explains how to obtain the ROV model and verify it by using computational fluid dynamic software before designing and implementing the control system. In addition, the book details the nonlinear subsystem modeling and linearization of the ROV at vertical plane equilibrium points. Throughout, the author delineates areas for further study. Appendices provide additional information on various simulation models and their results. Learn How to Perform Simulations on Real Industry Systems A step-by-step guide to computer-aided applied control design, this book supplies the knowledge to help you deal with control problems in industry. It is a valuable reference for anyone who wants a better understanding of the theory and practice of basic control systems design, analysis, and implementation.