Modelling and Control for Intelligent Industrial Systems: Adaptive Algorithms in Robotics and Industrial Engineering (Intelligent Systems Reference Library, 7, Band 7) - Hardcover

Rigatos, Gerasimos

Hardcover

ISBN 10: 364217874X ISBN 13: 9783642178740

Verlag: Springer, 2011

Inhaltsangabe

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.

Über diesen Titel

Über die Autorin bzw. den Autor

Gerasimos Rigatos obtained a diploma (1995) and a Ph.D. (2000) both from the Department of Electrical and Computer Engineering, of the National Technical University of Athens (NTUA), Greece. Currently he holds an Research Director position (Grade A) at the Industrial Systems Institute (Greek Secretariat for Research and Technology), on the topic of "Modelling and Control of Industrial Systems". In 2001 he was a post-doctoral researcher at the Institut de Recherche en Informatique et Systèmes Aléatoires IRISA, in Rennes France. In 2007 he was an invited professor (maître des conférences) at Université Paris XI (Institut d' Electronique Fondamentale). In 2012 he held a Lecturer Position at the Department of Engineering, of Harper-Adams University College, in Shropshire, UK on the topic of "Mechatronics and Artificial Intelligence". He has also been an adjunct professor in Greek Universities where he has taught courses on systems and control theory. His research interests include the areas of control and robotics, optimization and fault diagnosis, adaptive systems and computational intelligence. He is a Senior Member of IEEE, a member and CEng of IET and a member of IMACS. He has also held a visiting Professor position at the University of Salerno, Italy. and a visiting Professor position at the University of Northumbria, UK Krishna Busawon obtained his first degree in Mathematics and Fundamental Sciences from University of St-Etienne in 1989. He obtained a MSc (Electrical Engineering) from the University of Lyon in 1991 and then his MPhil and PhD in control systems engineering from the same institution in 1992 and 1996 respectively. Doctor Busawon was appointed as a research fellow at Simon Fraser University, Canada, in 1997 and then moved to the University of Nuevo León in Mexico where he worked as a lecturer in the Department of Mechanical and Electrical Engineering. In the year 2000, he joined Northumbria University where he was appointed as a senior lecturer in the School of Computing, Engineering and Sciences. In 2008 he became a reader in Control Systems Engineering and, since February 2013, a professor at the same university. He is currently the coordinator of graduate and post-graduate studies as the head of the Nonlinear Control Research Group. Doctor Busawon's research interests lie mainly in the area of mathematical modelling, nonlinear control and observer design, fault detection and isolation with application to various engineering disciplines such as mechanical, power and biotechnological systems. Recent research interests are in compressive sensing, chaos communications and hybrid systems.

Von der hinteren Coverseite

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.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2011
• Sprache: Englisch
• ISBN 10: 364217874X
• ISBN 13: 9783642178740
• Einband: Gebundene Ausgabe
• Anzahl der Seiten: 409
• Kontakt zum Hersteller: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Deutschland