Industrial Intelligent Control PDF Download
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| Author | : Yong-Zai Lu |
| Publisher | : John Wiley & Sons |
| Total Pages | : 350 |
| Release | : 1996-05-01 |
| Genre | : Science |
| ISBN | : 9780471950585 |
Download Industrial Intelligent Control Book in PDF, ePub and Kindle
With a strong emphasis on applications of intelligent control, this extremely accessible book covers the fundamentals, methodologies, architectures and algorithms of automatic control systems. The author summarizes several current concepts to improve industrial control systems, combining classical control techniques of dynamic modeling and control with new approaches discussed in the text. Addresses such intelligent systems as neural networks, fuzzy logic, ruled based, and genetic algorithms. Demonstrates how to develop, design and use intelligent systems to solve sophisticated industrial control problems. Includes numerous worked application examples.
| Author | : Sio-Iong Ao |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 311 |
| Release | : 2010-12-07 |
| Genre | : Technology & Engineering |
| ISBN | : 9400702868 |
Download Intelligent Control and Computer Engineering Book in PDF, ePub and Kindle
A large international conference on Advances in Intelligent Control and Computer Engineering was held in Hong Kong, March 17-19, 2010, under the auspices of the International MultiConference of Engineers and Computer Scientists (IMECS 2010). The IMECS is organized by the International Association of Engineers (IAENG). Intelligent Control and Computer Engineering contains 25 revised and extended research articles written by prominent researchers participating in the conference. Topics covered include artificial intelligence, control engineering, decision supporting systems, automated planning, automation systems, systems identification, modelling and simulation, communication systems, signal processing, and industrial applications. Intelligent Control and Computer Engineering offers the state of the art of tremendous advances in intelligent control and computer engineering and also serves as an excellent reference text for researchers and graduate students, working on intelligent control and computer engineering.
| Author | : Gerasimos Rigatos |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 396 |
| Release | : 2011-02-02 |
| Genre | : Technology & Engineering |
| ISBN | : 3642178758 |
Download Modelling and Control for Intelligent Industrial Systems Book in PDF, ePub and Kindle
Incorporating intelligence in industrial systems can help to increase productivity, cut-off production costs, and to improve working conditions and safety in industrial environments. This need has resulted in the rapid development of modeling and control methods for industrial systems and robots, of fault detection and isolation methods for the prevention of critical situations in industrial work-cells and production plants, of optimization methods aiming at a more profitable functioning of industrial installations and robotic devices and of machine intelligence methods aiming at reducing human intervention in industrial systems operation. To this end, the book analyzes and extends some main directions of research in modeling and control for industrial systems. These are: (i) industrial robots, (ii) mobile robots and autonomous vehicles, (iii) adaptive and robust control of electromechanical systems, (iv) filtering and stochastic estimation for multisensor fusion and sensorless control of industrial systems (iv) fault detection and isolation in robotic and industrial systems, (v) optimization in industrial automation and robotic systems design, and (vi) machine intelligence for robots autonomy. The book will be a useful companion to engineers and researchers since it covers a wide spectrum of problems in the area of industrial systems. Moreover, the book is addressed to undergraduate and post-graduate students, as an upper-level course supplement of automatic control and robotics courses.
| Author | : Lakhmi C. Jain |
| Publisher | : CRC Press |
| Total Pages | : 440 |
| Release | : 1998-12-29 |
| Genre | : Computers |
| ISBN | : 9780849398056 |
Download Intelligent Adaptive Control Book in PDF, ePub and Kindle
This book describes important techniques, developments, and applications of computational intelligence in system control. Chapters present: an introduction to the fundamentals of neural networks, fuzzy logic, and evolutionary computing a rigorous treatment of intelligent control industrial applications of intelligent control and soft computing, including transportation, petroleum, motor drive, industrial automation, and fish processing other knowledge-based techniques, including vehicle driving aid and air traffic management Intelligent Adaptive Control provides a state-of-the-art treatment of practical applications of computational intelligence in system control. The book cohesively covers introductory and advanced theory, design, implementation, and industrial use - serving as a singular resource for the theory and application of intelligent control, particularly employing fuzzy logic, neural networks, and evolutionary computing.
| Author | : Yong-Zai Lv |
| Publisher | : |
| Total Pages | : |
| Release | : 1996 |
| Genre | : Akıllı Kontrol Sistemleri |
| ISBN | : |
Download Industrial Intelligent Control Book in PDF, ePub and Kindle
| Author | : S.G. Tzafestas |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 778 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 9401103054 |
Download Artificial Intelligence in Industrial Decision Making, Control and Automation Book in PDF, ePub and Kindle
This book is concerned with Artificial Intelligence (AI) concepts and techniques as applied to industrial decision making, control and automation problems. The field of AI has been expanded enormously during the last years due to that solid theoretical and application results have accumulated. During the first stage of AI development most workers in the field were content with illustrations showing ideas at work on simple problems. Later, as the field matured, emphasis was turned to demonstrations that showed the capability of AI techniques to handle problems of practical value. Now, we arrived at the stage where researchers and practitioners are actually building AI systems that face real-world and industrial problems. This volume provides a set of twenty four well-selected contributions that deal with the application of AI to such real-life and industrial problems. These contributions are grouped and presented in five parts as follows: Part 1: General Issues Part 2: Intelligent Systems Part 3: Neural Networks in Modelling, Control and Scheduling Part 4: System Diagnostics Part 5: Industrial Robotic, Manufacturing and Organizational Systems Part 1 involves four chapters providing background material and dealing with general issues such as the conceptual integration of qualitative and quantitative models, the treatment of timing problems at system integration, and the investigation of correct reasoning in interactive man-robot systems.
| Author | : Azar, Ahmad Taher |
| Publisher | : IGI Global |
| Total Pages | : 795 |
| Release | : 2014-11-30 |
| Genre | : Technology & Engineering |
| ISBN | : 1466672498 |
Download Handbook of Research on Advanced Intelligent Control Engineering and Automation Book in PDF, ePub and Kindle
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.
| Author | : Lihui Wang |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 411 |
| Release | : 2006-08-02 |
| Genre | : Technology & Engineering |
| ISBN | : 1846282691 |
Download Condition Monitoring and Control for Intelligent Manufacturing Book in PDF, ePub and Kindle
Condition modelling and control is a technique used to enable decision-making in manufacturing processes of interest to researchers and practising engineering. Condition Monitoring and Control for Intelligent Manufacturing will be bought by researchers and graduate students in manufacturing and control and engineering, as well as practising engineers in industries such as automotive and packaging manufacturing.
| Author | : Sanjay Sharma |
| Publisher | : Springer Nature |
| Total Pages | : 1039 |
| Release | : 2023-12-19 |
| Genre | : Technology & Engineering |
| ISBN | : 9819946344 |
Download Intelligent Control, Robotics, and Industrial Automation Book in PDF, ePub and Kindle
This volume comprises peer-reviewed proceedings of the International Conference on Robotics, Control, Automation, and Artificial Intelligence (RCAAI 2022). It aims to provide a broad spectrum picture of the state of art research and development in the areas of intelligent control, the Internet of Things, machine vision, cybersecurity, robotics, circuits, and sensors, among others. This volume will provide a valuable resource for those in academia and industry.
| Author | : S.G. Tzafestas |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 573 |
| Release | : 2012-12-06 |
| Genre | : Technology & Engineering |
| ISBN | : 9401154988 |
Download Methods and Applications of Intelligent Control Book in PDF, ePub and Kindle
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 such as automatic control, systems science, computer science, neurophysiology and operational research. Intelligent control systems have to perform anthropomorphic tasks fully autonomously or interactively with the human under known or unknown and uncertain environmental conditions. Therefore the basic components of any intelligent control system include cognition, perception, learning, sensing, planning, numeric and symbolic processing, fault detection/repair, reaction, and control action. These components must be linked in a systematic, synergetic and efficient way. Predecessors of intelligent control are adaptive control, self-organizing control, and learning control which are well documented in the literature. Typical application examples of intelligent controls are intelligent robotic systems, intelligent manufacturing systems, intelligent medical systems, and intelligent space teleoperators. Intelligent controllers must employ both quantitative and qualitative information and must be able to cope with severe temporal and spatial variations, in addition to the fundamental task of achieving the desired transient and steady-state performance. Of course the level of intelligence required in each particular application is a matter of discussion between the designers and users. The current literature on intelligent control is increasing, but the information is still available in a sparse and disorganized way.
