Modelling and Control for Intelligent Industrial Systems: Adaptive Algorithms in Robotics and Industrial Engineering

Gerasimos Rigatos

ISBN 10: 3662506653 / ISBN 13: 9783662506653

Editore: Springer, 2016

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reprint edition. 379 pages. 9.25x6.10x0.93 inches. In Stock.

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Dati bibliografici

• Titolo: Modelling and Control for Intelligent Industrial Systems: Adaptive Algorithms in Robotics and Industrial Engineering
• Editore: Springer
• Data di pubblicazione: 2016
• Lingua: Inglese
• ISBN 10: 3662506653
• ISBN 13: 9783662506653
• Rilegatura: Paperback
• Condizione: Brand New

Descrizione articolo

Riassunto

This book explores progress in modeling and control for industrial robots; mobile robots and autonomous vehicles; adaptive control of electromechanical systems; sensorless control; fault detection and isolation; machine intelligence for robot autonomy and more.

Dalla quarta di copertina

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.