Cargando…

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

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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Rigatos, Gerasimos (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Colección:Intelligent Systems Reference Library, 7
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-3-642-17875-7
003 DE-He213
005 20220118122013.0
007 cr nn 008mamaa
008 110131s2011 gw | s |||| 0|eng d
020 |a 9783642178757  |9 978-3-642-17875-7 
024 7 |a 10.1007/978-3-642-17875-7  |2 doi 
050 4 |a Q342 
072 7 |a UYQ  |2 bicssc 
072 7 |a TEC009000  |2 bisacsh 
072 7 |a UYQ  |2 thema 
082 0 4 |a 006.3  |2 23 
100 1 |a Rigatos, Gerasimos.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Modelling and Control for Intelligent Industrial Systems  |h [electronic resource] :  |b Adaptive Algorithms in Robotics and Industrial Engineering /  |c by Gerasimos Rigatos. 
250 |a 1st ed. 2011. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2011. 
300 |a XXX, 380 p. 220 illus., 134 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Intelligent Systems Reference Library,  |x 1868-4408 ;  |v 7 
505 0 |a Industrial robots in contact-free operation -- Industrial robots in compliance tasks -- Mobile robots and autonomous vehicles -- Adaptive control methods for industrial systems .-Robust control methods for industrial systems -- Filtering and estimation methods for industrial systems -- Sensor fusion-based control for industrial systems -- Fault detection and isolation for industrial systems -- Application of fault diagnosis to industrial systems -- Optimization methods for motion planning of multi-robot systems -- Optimization methods for target tracking by multi-robot systems -- Optimization methods for industrial automation -- Machine learning methods for industrial systems control -- Machine learning methods for industrial systems fault diagnosis -- Applications of machine vision to industrial systems. 
520 |a 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. 
650 0 |a Computational intelligence. 
650 0 |a Control engineering. 
650 0 |a Robotics. 
650 0 |a Automation. 
650 0 |a Artificial intelligence. 
650 1 4 |a Computational Intelligence. 
650 2 4 |a Control, Robotics, Automation. 
650 2 4 |a Artificial Intelligence. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783642178740 
776 0 8 |i Printed edition:  |z 9783642178764 
776 0 8 |i Printed edition:  |z 9783662506653 
830 0 |a Intelligent Systems Reference Library,  |x 1868-4408 ;  |v 7 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-3-642-17875-7  |z Texto Completo 
912 |a ZDB-2-ENG 
912 |a ZDB-2-SXE 
950 |a Engineering (SpringerNature-11647) 
950 |a Engineering (R0) (SpringerNature-43712)