2 edition of Intelligent control found in the catalog.
Clarence W. De Silva
Includes bibliographical references and index.
|Statement||Clarence W. de Silva.|
|LC Classifications||TJ217.5 .D47 1995|
|The Physical Object|
|Pagination||343 p. :|
|Number of Pages||343|
|LC Control Number||94044558|
Continuous Character Control with Low-Dimensional Embeddings Motion Fields for Interactive Character Animation General Readings A. Barto and R. Sutton () Reinforcement learning: An introduction (online book) E. Todorov () Optimal control theory (book chapter) D. Bertsekas () Dynamic programming (lecture slides). 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, Lefteri H. Tsoukalas and Robert E. Uhrig, Fuzzy and Neural Approaches in Engineering, Wiley-Interscience,
Intelligent Control Systems with an Introduction to System of Systems Engineering (Nanayakkara, T.; ) [Book Review Article (PDF Available) in IEEE Computational Intelligence Magazine 5(4) Author: Hussein Abbass. Inappropriate The list (including its title or description) facilitates illegal activity, or contains hate speech or ad hominem attacks on a fellow Goodreads member or author. Spam or Self-Promotional The list is spam or self-promotional. Incorrect Book The list contains an incorrect book (please specify the title of the book). Details *.
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. The papers are organized in 4 topical sections on Blind Source Separation, Intelligent Sensor Networks, Intelligent Control and Automation as well as Data Fusion, Knowledge Discovery, and Data Mining. In addition there is a special session on Special Session on Smart and Intelligent Home Technology.
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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 Cited by: 9.
Intelligent control systems use artificial intelligence to manage and control other systems such as production or manufacturing for machines or controlling equipment. These systems utilize fuzzy logic, neural networks, and fuzzy neural networks in principle. Adaptive controls, advanced control algorithms and applications, artificial.
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Get this from a library. Intelligent control Intelligent control book and MATLAB simulation. [Jinkun Liu] -- 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. While other brands may provide access control solutions for one area of your building's needs, ASSA ABLOY Intelligent Openings has a holistic approach.
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Intelligent control book Intelligent Control is filled with worked examples, exercises, problems, and references. No prior knowledge of the subject nor advanced mathematics are needed to comprehend much of the book, making it well-suited as a senior undergraduate or first-year graduate text and a convenient reference tool for practicing by: The book contains MATLAB- based examples and c-codes under robot operating systems (ROS) for experimental validation so that readers can replicate these algorithms in robotics platforms.
multiagent systems, formation control, Intelligent control, cyber-physical systems and mobile robotics. Samrat Dutta received the degree in. Intelligent Control is filled with worked examples, exercises, problems, and references. No prior knowledge of the subject nor advanced mathematics are needed to comprehend much of the book, making it well-suited as a senior undergraduate or first-year graduate text and a convenient reference tool for practicing professionals.
HANDBOOK OF INTELLIGENT CONTROL NEURAL, FUZZY, AND ADAPTIVE APPROACHES Edited by David A. White Donald A. Sorge \~1l ~ VAN NOSTRAND REINHOLD ~ New York. FOREWORD 1 This book is an outgrowth of discussions that got started in at least three workshops sponsored by theFile Size: 1MB.
Advanced and Intelligent Control in Power Electronics and Drives [Book News] This book is the new volume in the Springer series Studies in.
Intelligent Vehicle Technologies Theory and Applications A volume in Automotive Engineering Series. Book • from intelligent control systems to intelligent sensors. Systems such as in-car navigation devices and cruise control are already being introduced into modern vehicles, but manufacturers are now racing to develop systems such.
Intelligent control is a class of control techniques that use various artificial intelligence computing approaches like neural networks, Bayesian probability, fuzzy logic, machine learning, reinforcement learning, evolutionary computation and genetic algorithms.
Neural network controller. Bayesian controllers. 4 Further reading. 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.
Urban DC Microgrid: Intelligent Control and Power Flow Optimization focuses on microgrids for urban areas, particularly associated with building-integrated photovoltaic and renewable sources. This book describes the most important problems of DC microgrid application, with grid-connected and off-grid operating modes, aiming to supply DC.
Intelligent Systems, Control and Automation: Science and Engineering book series publishes books on scientific, engineering, and technological developments in this interesting field that borders on so many disciplines and has so many practical applications: human-like biomechanics, industrial robotics, mobile robotics, service and social robotics, humanoid robotics.
IntelligentControl: AnOverviewofTechniques∗ o DepartmentofElecticalEngineering TheOhioStateUniversity NeilAvenue Columbus,OH Optimal control: a foundation for intelligent control \/ David A. White and Michael I.
Jordan -- Chap. Development and application of CMAC neural network-based control \/ L.G. Kraft, W.T. Miller, and Darryl Dietz -- Chap. Intelligent Control in Energy Systems, ISBNISBNBrand New, Free shipping in the US. Despite the available general literature in intelligent control, there is a definite lack of knowledge and know-how in practical applications of intelligent control in drying.
This book fills that gap. Intelligent Control in Drying serves as an innovative and practical guide for researchers and prof. Intelligent Control of Robotic Systems. DOI link for Intelligent Control of Robotic Systems. Intelligent Control of Robotic Systems book.
By Laxmidhar Behera, Swagat Kumar, Prem Kumar Patchaikani, Ranjith Ravindranathan Nair, Samrat Dutta. Edition 1st Edition. First Published eBook Published 7 April.
Superintelligence: Paths, Dangers, Strategies is a book by the Swedish philosopher Nick Bostrom from the University of argues that if machine brains surpass human brains in general intelligence, then this new superintelligence could replace humans as the dominant lifeform on Earth.
Sufficiently intelligent machines could improve their own capabilities faster Author: Nick Bostrom. The book presents a practical computer simulation model of the induction motor that could be used for studying various induction motor drive operations.
The control strategies explored include expert-system-based acceleration control, hybrid-fuzzy/PI two-stage control, neural-network-based direct self control, and genetic algorithm based.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.