Manufacturing Systems Control Design A Matrix-based Approach /

Manufacturing Systems Control Design details a matrix-based approach to the real-time application of control in discrete-event systems and flexible manufacturing systems (FMS) in particular. The "and/or" algebra in which matrix operations are carried out enables fast and efficient calculat...

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Main Authors: Bogdan, Stjepan. (Author, http://id.loc.gov/vocabulary/relators/aut), Lewis, Frank L. (http://id.loc.gov/vocabulary/relators/aut), Kovacic, Zdenko. (http://id.loc.gov/vocabulary/relators/aut), Mireles, Jose. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: London : Springer London : Imprint: Springer, 2006.
Edition:1st ed. 2006.
Series:Advances in Industrial Control,
Subjects:
Online Access:https://doi.org/10.1007/1-84628-334-5
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245 1 0 |a Manufacturing Systems Control Design  |h [electronic resource] :  |b A Matrix-based Approach /  |c by Stjepan Bogdan, Frank L. Lewis, Zdenko Kovacic, Jose Mireles. 
250 |a 1st ed. 2006. 
264 1 |a London :  |b Springer London :  |b Imprint: Springer,  |c 2006. 
300 |a XXI, 298 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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490 1 |a Advances in Industrial Control,  |x 1430-9491 
505 0 |a Discrete Event Systems -- Matrix Model and Control of Manufacturing Systems -- Matrix Methods for Manufacturing Systems Analysis -- Manufacturing System Structural Properties in Matrix Form -- Petri Nets -- Virtual Factory Modeling and Simulation. 
520 |a Manufacturing Systems Control Design details a matrix-based approach to the real-time application of control in discrete-event systems and flexible manufacturing systems (FMS) in particular. The "and/or" algebra in which matrix operations are carried out enables fast and efficient calculations with a minimum of computing power. In addition, the method uses standard task-sequencing and resource-requirements matrices which, if not in use already, can be easily derived with the help of this text. Matrix-based techniques are compared with Petri net and max-plus algebra ideas. Virtual modeling of complex physical systems has brought a new perspective to the investigation of phenomena in FMS. The software discussed in this book(and downloadable from the authors’ website at http://flrcg.rasip.fer.hr/) supplies the reader with a graphical user interface that can do many things to make the design and control of FMS easier. The examples presented herein tackle the real-world problems faced by engineers trying to put into practice methods developed in academia, bringing together catholic experience of sensors, control systems, robotics, industrial automation, simulation, agile assembly and supply chains. Common concerns confronted include: • predictability: issues of control system modeling and analysis are addressed; • producibility: by looking at the design and synthesis of cellular workcells; • productivity: in terms of dynamic sensing and control. Covering all the steps from identification of operations and resources through modeling of the system and simulation of its dynamics in a virtual environment to the transformation of those models into real-world algorithms, this monograph is a sound practical basis for the design of controllers for manufacturing systems. It will interest both the academic and practising control or manufacturing engineer wishing to enhance the control of flexible systems and operations researchers looking at manufacturing performance. The end-of-chapter exercises provided and the easy-to-read introduction to the subject will also suit the final-year undergraduate and the beginning graduate in these disciplines. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control. 
650 0 |a Control engineering. 
650 0 |a Industrial engineering. 
650 0 |a Production engineering. 
650 0 |a Manufactures. 
650 0 |a Computer simulation. 
650 0 |a Matrix theory. 
650 0 |a Algebra. 
650 0 |a Industrial organization. 
650 1 4 |a Control and Systems Theory.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/T19010 
650 2 4 |a Industrial and Production Engineering.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/T22008 
650 2 4 |a Manufacturing, Machines, Tools, Processes.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/T22050 
650 2 4 |a Simulation and Modeling.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/I19000 
650 2 4 |a Linear and Multilinear Algebras, Matrix Theory.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/M11094 
650 2 4 |a Industrial Organization.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/W31010 
700 1 |a Lewis, Frank L.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Kovacic, Zdenko.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Mireles, Jose.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9781849969895 
776 0 8 |i Printed edition:  |z 9781848008816 
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830 0 |a Advances in Industrial Control,  |x 1430-9491 
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950 |a Engineering (SpringerNature-11647) 
950 |a Engineering (R0) (SpringerNature-43712)