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Manufacturing Systems Contr...
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\2019 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: \2022 predictability: issues of control system modeling and analysis are addressed; \2022 producibility: by looking at the design and synthesis of cellular workcells; \2022 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
Monografía
monografia Rebiun16718043 https://catalogo.rebiun.org/rebiun/record/Rebiun16718043 cr nn 008mamaa 100301s2006 xxk| s |||| 0|eng d 9781846283345 10.1007/1-84628-334-5 doi UPVA 996876780003706 UAM 991007781663704211 CBUC 991010405227906709 CBUC 991004876976906711 CBUC 991010405227906709 UCAR 991007933663304213 UMO 66340 UPCT u326539 Bogdan, Stjepan Manufacturing Systems Control Design Recurso electrónico-En línea] :] A Matrix-based Approach by Stjepan Bogdan, Frank L. Lewis, Zdenko Kovaci´c, José Mireles London Springer London 2006 London London Springer London XX, 297 p. 152 illus. digital XX, 297 p. 152 illus. Advances in Industrial Control 1430-9491 Engineering (Springer-11647) Introduction -- 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 Accesible sólo para usuarios de la UPV Recurso a texto completo 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\2019 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: \2022 predictability: issues of control system modeling and analysis are addressed; \2022 producibility: by looking at the design and synthesis of cellular workcells; \2022 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 Reproducción electrónica Forma de acceso: Web Engineering Computer simulation Matrix theory Industrial engineering Machinery Industrial organization (Economic theory) Engineering Control Engineering Industrial and Production Engineering Manufacturing, Machines, Tools Simulation and Modeling Linear and Multilinear Algebras, Matrix Theory Industrial Organization Lewis, Frank L. Kovaci´c, Zdenko Mireles, José SpringerLink (Servicio en línea) Springer eBooks Springer eBooks Printed edition 9781852339821 Advances in Industrial Control 1430-9491