5 edition of Methods and applications of intelligent control found in the catalog.
Includes bibliographical references and index.
|Statement||edited by Spyros G. Tzafestas.|
|Series||International series on microprocessor-based and intelligent systems engineering ;, v. 16|
|Contributions||Tzafestas, S. G., 1939-|
|LC Classifications||TJ217.5 .M48 1997|
|The Physical Object|
|Pagination||xix, 563 p. ;|
|Number of Pages||563|
|LC Control Number||97019894|
This book describes important techniques, developments, and applications of computational intelligence in system rs present:an introduction to the fundamentals of neural networks, fuzzy logic, and evolutionary computinga rigorous treatment of intelligent control industrial applications of intelligent control and soft computing, including transportation, . With the help of IC methods, it is possible to achieve better accuracy, robustness, reliability, and implementation simplicity. In addition, the learning algorithms can adapt the control parameters to ensure stability and efficiency for mechatronic systems in .
This book discusses the intelligent optimization and control of complex metallurgical processes, including intelligent optimization and control of raw-material proportioning processes, coking process, and reheating furnaces; intelligent control of thermal state parameters in sintering processes; and intelligent decoupling control of gas. Intelligent Vibration Control in Civil Engineering Structures provides readers with an all-encompassing view of the theoretical studies, design methods, real-world implementations, and applications relevant to the topic. The book focuses on design and property tests on different intelligent control devices, innovative control strategies, analysis examples for structures with .
Title: Applications of intelligent methods for control Abstract: The aim of this conference is to show how artificial intelligent techniques can be applied to solve real control problems, mainly from the industrial and engineering fields. Several complex control applications are described. Traditionally, intelligent control has embraced classical control theory, neural networks, fuzzy logic, classical AI, and a wide variety of search techniques (such as genetic algorithms and others). This book draws on all five areas, but more emphasis has been placed on the first Size: KB.
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This book is concerned with Intelligent Control methods and applications. The field of intelligent control has been expanded very much during the recent years and a solid body of theoretical and practical results are now available.
These results have been obtained through the synergetic fusion of concepts and techniques from a variety of fields Format: Hardcover. Finally, Part 3 deals with the application of intelligent control to robotic manipulators, automatic power generation control, manufacturing systems, and welding processes.
The book can serve as a reference volume for the researcher and practitioner in the field, and as a rich information source for the teacher and student in related Format: Paperback. This book is concerned with Intelligent Control methods and applications.
The field of intelligent control has been expanded very much during the recent years and a solid body of theoretical and practical results are now available. This book is concerned with Intelligent Control methods and applications. The field of intelligent control has been expanded very much during the recent years and a solid body of theoretical and practical results are now available.
These results have been obtained through the. ISBN: OCLC Number: Description: xix, pages ; 25 cm. Contents: Introduction: overview of intelligent controls / S.G. Tzafestas --Fuzzy and neural intelligent control: basic principles and architectures / S.G.
Tzafestas and C.S. Tzafestas --Intelligent control using artificial neural networks and fuzzy logic: recent trends and industrial. Get this from a library. Methods and Applications of Intelligent Control.
[Spyros G Tzafestas] -- The field of Intelligent Control has expanded rapidly in recent years with many theoretical and practical results that go beyond those of classical controls. This book. xii HANDBOOK OF INTELLIGENT CONTROL Figure F.l Neurocontrol as a subset.
Traditionally, intelligent control has embraced classical control theory, neural networks, fuzzy logic, classical AI, and a wide variety of search techniques (such as genetic algorithms and others).File Size: 1MB. This book focuses on the intelligent optimization and control of complex metallurgical processes, including intelligent optimization and control of raw-material proportioning processes, coking process, and reheating furnace, intelligent control of thermal state parameters, and etc.
Intelligent Coatings for Corrosion Control covers the most current and comprehensive information on the emerging field of intelligent coatings. The book begins with a fundamental discussion of corrosion and corrosion protection through coatings, setting the stage for deeper discussion of the various types of smart coatings currently in use and.
Book Description. The emergence of fuzzy logic and its applications has dramatically changed the face of industrial control engineering. Over the last two decades, fuzzy logic has allowed control engineers to meet and overcome the challenges of developing effective controllers for increasingly complex systems with poorly defined dynamics.
Intelligent control techniques are often capable of controlling dynamical systems that, because of their complexity, are very difficult to control by other techniques. Intelligent control systems are characterized by attempts to emulate important aspects of biological intelligence.
The author first introduces the traditional control techniques and contrasts them with intelligent control. He then presents several methods of representing and processing knowledge and introduces fuzzy logic as one such method.
He highlights the advantages of fuzzy logic over other techniques, indicates its limitations, and describes in detail. Algebraic Identification and Estimation Methods in Feedback Control Systems presents a model-based algebraic approach to online parameter and state estimation in uncertain dynamic feedback control systems.
This approach evades the mathematical intricacies of the traditional stochastic approach, proposing a direct model-based scheme with several easy-to.
IntelligentControl: AnOverviewofTechniques∗ o DepartmentofElecticalEngineering TheOhioStateUniversity NeilAvenue Columbus,OH 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.
Intelligent systems include a range of techniques (e.g. neural networks, fuzzy logic/systems, genetic algorithms and genetic programming, expert. Note: If you're looking for a free download links of Human and Nature Minding Automation: An Overview of Concepts, Methods, Tools and Applications: 41 (Intelligent Systems, Control and Automation: Science and Engineering) Pdf, epub, docx and torrent then this site is not for you.
only do ebook promotions online and we does not distribute any free download. Intelligent Control Systems with an Introduction to System of Systems Engineering integrates the fundamentals of artificial intelligence and systems control in a framework applicable to both simple dynamic systems and large-scale system of systems (SoS).
For decades, NASA has used SoS methods, and major manufacturers—including Boeing. Introduction to Mobile Robot Control provides a complete and concise study of modeling, control, and navigation methods for wheeled non-holonomic and omnidirectional mobile robots and manipulators.
The book begins with a study of mobile robot drives and corresponding kinematic and dynamic models, and discusses the sensors used in mobile robotics. Sankar K. Pal and Sushmita Mitra, Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing, John Wiley & Sons, Antonio Ruano, Intelligent Control Systems Using Computational Intelligence Techniques, Institution of Engineering and Technology, Y.
Sin and C. Xu, Intelligent Systems: Modeling, Optimization, and Control, CRC Press. The emergence of fuzzy logic and its applications has dramatically changed the face of industrial control engineering. Over the last two decades, fuzzy logic has allowed control engineers to meet and overcome the challenges of developing effective controllers for increasingly complex systems with poorly defined : Clarence W De Silva.Springer CALL FOR BOOK CHAPTERS Computational Intelligence Methods for Super- Resolution in Image Processing Applications Book Series: Biological and Medical Physics, Biomedical Engineering.Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition, machine learning, data abstraction and visualization tools for the analysis of data and discovery of mechanisms that create data.
It provides computational methods and tools for intelligent data analysis, with an emphasis on problem .