4 edition of Intelligent control systems found in the catalog.
Includes bibliographical references and index.
|Statement||edited by Madan M. Gupta, Naresh K. Sinha ; IEEE Neural Networks Council, sponsor.|
|Contributions||Gupta, Madan M., Sinha, N. K. 1927-, IEEE Neural Networks Council.|
|LC Classifications||TJ217.5 .I543 1996|
|The Physical Object|
|Pagination||xxxv, 820 p. :|
|Number of Pages||820|
|LC Control Number||95001227|
Book Abstract: Induction motors are the most important workhorses in industry. They are mostly used as constant-speed drives when fed from a voltage source of fixed frequency. Advent of advanced power electronic converters and powerful digital signal processors, however, has made possible the development of high performance, adjustable speed AC motor drives. 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.
ICS provides audio/visual control system programming, DSP programming, interface GUI design, system design support, on-site support, and system commissioning services. This comprehensive treatment of the field of intelligent systems is written by two of the foremost authorities in the field. The authors clearly examine the theoretical and practical aspects of these systems. The book focuses on the NIST-RCS (Real-time Control System) model that has been used recently in the Mars Rover.
Intelligent control by Harris, C. J.; 1 edition; First published in ; Subjects: Intelligent control systems, Neural networks (Computer science), . Prior to this book's publication, there was no comprehensive text that explores intelligent control with focus on the design and analysis of industrial applications and integrating the use of MATLAB. Suited as both a textbook and a reference, Intelligent Control Systems Using Soft Computing Methodologies explores recent advances in.
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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 : $ 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. 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, mechatronics, intelligent.
Intelligent control is a rapidly developing, complex and challenging field with great practical importance and potential. Because of the rapidly developing and interdisciplinary nature of the subject, there are only a few edited volumes consisting of research papers on intelligent control systems but little is known and published about the fundamentals and the general know-how in designing.
IntelligentControl: AnOverviewofTechniques∗ o DepartmentofElecticalEngineering TheOhioStateUniversity NeilAvenue Columbus,OH His research interests include intelligent control, robotics, information retrieval, neural networks, cyber-physical systems, and cognitive modeling. Swagat Kumar obtained his Bachelor’s degree in Electrical Engineering from North Orissa University in and his Master's and his Ph.D.
degree in Electrical Engineering from IIT Kanpur in 'Intelligent Vehicle Technologies' covers the growing field of intelligent technologies, 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 as 'smart' cruise control, on.
ICS offers energy economizer solutions for hydronic, steam and forced-air heating systems, a wide range of refrigeration units, package/rooftop units and PTACs. Over the past 15 years, thousands of our line of Energy Economizers have been installed in government, commercial and residential buildings.
Reducing energy consumption, lowering energy. 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. Intelligent Control Systems (ICS) is a Building Automation and Controls Contractor that provides building automation control system engineering, design, installation, maintenance, and repair services in the Greater Detroit area including but not limited to: Allen Park, Ann Arbor, Auburn Hills, Belleville, Berkley, Beverly Hills, Bingham Farms.
Abstract. The control algorithm is the core aspect to realize vibration mitigation effectively for the intelligent system. In this chapter, equations of the motion of an intelligent vibration control system are introduced firstly, and fundamental theories of different control algorithms for intelligent vibration control system are introduced in detail.
Examples of control systems used in industry Control theory is a relatively new field in engineering when compared with core topics, such as statics, dynamics, thermodynamics, etc. Early examples of control systems were developed actually before the science was fully understood.
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 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.
( views) Systems Structure and Control by Petr Husek - InTech, The the book covers broad field of theory and applications of many different control approaches applied on dynamic systems.
Output and state feedback control include among others robust control, optimal control or. This book illustrates basic principles, along with the development of the advanced algorithms, to realize smart robotic systems.
It speaks to strategies by which a robot (manipulators, mobile robot, quadrotor) can learn its own kinematics and dynamics from Edition: 1st Edition. Intelligent Control Systems, Inc. has been listed in the Blue Book since What We Do CLASS CSI. Audio-Visual Equipment & Supplies Products/Services Relating to Audio-Visual Equipment & Supplies.
Not Provided. CSI Codes CLASS CSI. 11 00 00 - Equipment 12 00 00 Location: Austin,Texas. An intelligent system is a machine with an embedded, Internet-connected computer that has the capacity to gather and analyze data and communicate with other systems.
Other criteria for intelligent systems include the capacity to learn from experience, security, connectivity, the ability to adapt according to current data and the capacity for.
RouteSuite Farmingdale, NY () Monday – Friday: 9AM – 5PM Saturday - Sunday: Closed. Email/Registration. Boolean, so-called intelligent control was mainly a matter of cutting and pasting: AI systems and control theory systems communicated with each other, in relatively ad hoc and distant ways, but the fit was not very good.
Now, however, fuzzy logic and neurocontrol both build nonlinear systems,File Size: 1MB. Intelligent Control Systems Using Soft Computing Methodologies The book begins with the fundamentals of neural networks, supervised and unsupervised learning, and recurrent networks.
It then focuses on the theory and fundamentals of fuzzy logic, implementation, and examples of applications and concludes with the integration of genetic.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 in Energy Systems, ISBNISBNBrand New, Free shipping in the US.