000 04606nam a22005655i 4500
001 978-1-84628-651-3
003 DE-He213
005 20161121231156.0
007 cr nn 008mamaa
008 100301s2007 xxk| s |||| 0|eng d
020 _a9781846286513
_9978-1-84628-651-3
024 7 _a10.1007/978-1-84628-651-3
_2doi
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
082 0 4 _a629.8
_223
100 1 _aVillani, Emilia.
_eauthor.
245 1 0 _aModelling and Analysis of Hybrid Supervisory Systems
_h[electronic resource] :
_bA Petri Net Approach /
_cby Emilia Villani, Paulo E. Miyagi, Robert Valette.
264 1 _aLondon :
_bSpringer London,
_c2007.
300 _aXXII, 226 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Industrial Control
505 0 _aModelling of Hybrid Systems -- Development of the Supervisory System -- Hybrid System Analysis -- Application 1: HVAC System -- Application 2: Landing System -- Application 3: Cane Sugar Factory -- Conclusion and Research Topics.
520 _aHybrid supervisory systems integrate and exchange information between discrete- and continuous-data-based controllers and subsystems. Application areas include process, manufacturing and service industries, healthcare, telecommunication, transportation and logistics, among others. From the hardware point of view, the rapid progress of information-processing power and its commercial availability has made possible the development of complex supervisory systems. Many barriers that restrained the evolution of supervisory systems in the past have been removed by the recent popularisation of the open-system paradigm. On the other hand, software has not followed the evolution in hardware and both the industrial and scientific communities have pointed out the need for a generic approach that guides the development of hybrid supervisory systems. Modelling and Analysis of Hybrid Supervisory Systems introduces a modelling formalism that merges Petri nets, differential equation systems and object-oriented methods; a formalism that is adequate for modelling complex and large-scale systems. To guide the designer and conduct hybrid modelling, the book describes a method that starts from the requirements of a supervisory system and results in a proposal for such a system. The method is mainly based on Unified Modelling Language diagrams, well-known tools in both academia and industry. In order to ensure that the supervisory system will behave as expected under any operational circumstances, a validation procedure that allows verification of the formal properties of the hybrid model is presented. In building a bridge between what is developed in academic research and what is available to the industrial professional, this monograph places particular emphasis on the description of real-world examples; three of these – an HVAC management system, a landing system and a cane-sugar factory – are discussed at length. It will interest academic researchers working with hybrid systems and their applications and will answer the need of industry-based engineers to unify their control of continuous- and discrete-event systems. 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 _aEngineering.
650 0 _aComputer organization.
650 0 _aComputer communication systems.
650 0 _aControl engineering.
650 0 _aRobotics.
650 0 _aMechatronics.
650 0 _aElectrical engineering.
650 1 4 _aEngineering.
650 2 4 _aControl.
650 2 4 _aComputer Systems Organization and Communication Networks.
650 2 4 _aCommunications Engineering, Networks.
650 2 4 _aControl, Robotics, Mechatronics.
650 2 4 _aComputer Communication Networks.
700 1 _aMiyagi, Paulo E.
_eauthor.
700 1 _aValette, Robert.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781846286506
830 0 _aAdvances in Industrial Control
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-84628-651-3
912 _aZDB-2-ENG
950 _aEngineering (Springer-11647)
999 _c509667
_d509667