000 03890nam a22005415i 4500
001 978-3-319-00014-5
003 DE-He213
005 20170628034019.0
007 cr nn 008mamaa
008 130305s2013 gw | s |||| 0|eng d
020 _a9783319000145
_9978-3-319-00014-5
024 7 _a10.1007/978-3-319-00014-5
_2doi
050 4 _aTA355
050 4 _aTA352-356
072 7 _aTGMD4
_2bicssc
072 7 _aTEC009070
_2bisacsh
072 7 _aSCI018000
_2bisacsh
082 0 4 _a620
_223
100 1 _aColosi, Tiberiu.
_eauthor.
245 1 0 _aNumerical Simulation of Distributed Parameter Processes
_h[electronic resource] /
_cby Tiberiu Colosi, Mihail-Ioan Abrudean, Mihaela-Ligia Unguresan, Vlad Muresan.
264 1 _aHeidelberg :
_bSpringer International Publishing :
_bImprint: Springer,
_c2013.
300 _aXX, 343 p. 267 illus., 4 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIst PART: PROCESSES WITH LUMPED PARAMETERS -- Linear processes invariant in time -- Time varying linear processes -- Non-linear processes with lumped parameters -- IInd PART: PROCESSES WITH DISTRIBUTED PARAMETERS -- Linear processes with distributed parameters -- IIIrd PART: SIMULATION EXAMPLES -- Modeling and simulation examples of lumped parameters processes -- Modeling and simulation examples for distributed parameters processes -- Case studies for establishing the Mpdx matrix -- Partial derivative equations in the Cartesian Space -- Parallel, serial and with feed-back connection, for the processes modeled through PDE -- Control system with distributed and lumped parameters in the Cartesian space – cases studies -- Numerical simulation using partial differential equations, for propagation and control in discontinuous structures processes -- Conclusions.
520 _aThe present monograph defines, interprets and uses the matrix of partial derivatives of the state vector with applications for the study of some common categories of engineering. The book covers broad categories of processes that are formed by systems of partial derivative equations (PDEs), including systems of ordinary differential equations (ODEs). The work includes numerous applications specific to Systems Theory based on Mpdx, such as parallel, serial as well as feed-back connections for the processes defined by PDEs. For similar, more complex processes based on Mpdx with PDEs and ODEs as components, we have developed control schemes with PID effects for the propagation phenomena, in continuous media (spaces) or discontinuous ones (chemistry, power system, thermo-energetic) or in electro-mechanics (railway – traction) and so on. The monograph has a purely engineering focus and is intended for a target audience working in extremely diverse fields of application (propagation phenomena, diffusion, hydrodynamics, electromechanics) in which the use of PDEs and ODEs is justified.
650 0 _aEngineering.
650 0 _aDifferential equations, partial.
650 0 _aComputer science
_xMathematics.
650 0 _aEngineering mathematics.
650 0 _aVibration.
650 1 4 _aEngineering.
650 2 4 _aVibration, Dynamical Systems, Control.
650 2 4 _aComputational Mathematics and Numerical Analysis.
650 2 4 _aPartial Differential Equations.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
700 1 _aAbrudean, Mihail-Ioan.
_eauthor.
700 1 _aUnguresan, Mihaela-Ligia.
_eauthor.
700 1 _aMuresan, Vlad.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319000138
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-00014-5
912 _aZDB-2-ENG
999 _c17887
_d17887