{"id":1484,"date":"2018-07-30T12:42:56","date_gmt":"2018-07-30T12:42:56","guid":{"rendered":"http:\/\/centruldecalcul.ro\/astr\/?p=1484"},"modified":"2018-08-31T07:11:59","modified_gmt":"2018-08-31T07:11:59","slug":"numerical-simulation-of-distributed-parameter-processes","status":"publish","type":"post","link":"https:\/\/old.astr.ro\/en\/numerical-simulation-of-distributed-parameter-processes\/","title":{"rendered":"Numerical Simulation of Distributed Parameter Processes"},"content":{"rendered":"<img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-1485 alignleft\" src=\"\/wp-content\/uploads\/2018\/07\/5175_22_poza_1-300x300.jpg\" alt=\"\" width=\"300\" height=\"300\" srcset=\"https:\/\/old.astr.ro\/wp-content\/uploads\/2018\/07\/5175_22_poza_1-300x300.jpg 300w, https:\/\/old.astr.ro\/wp-content\/uploads\/2018\/07\/5175_22_poza_1-150x150.jpg 150w, https:\/\/old.astr.ro\/wp-content\/uploads\/2018\/07\/5175_22_poza_1-420x420.jpg 420w, https:\/\/old.astr.ro\/wp-content\/uploads\/2018\/07\/5175_22_poza_1.jpg 550w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/>\r\n\r\n<b>Tiberiu Colo\u015fi, Mihail Abrudean, Mihaela-Ligia Ungure\u015fan, Vlad Mure\u015fan<\/b>\r\n\r\n<b><u>Numerical Simulation of Distributed Parameter Processes<\/u><\/b>\r\n\r\n<b>Springer Verlag 2013, 340 pages<\/b>\r\n\r\nThe monography \u201cNumerical Simulation of Distributed Parameter Processes\u201d defines, interprets and uses the \u201cmatrix of partial derivatives of the state vector (Mpdx)\u201d with applications for the study of some common categories of engineering, of the processes with distributed and concentrated parameters.\r\n\r\nFor such processes we mainly pursued the elaboration of a unified and systematic method for:\r\n\r\n<b>-The analogical modeling through (Mpdx);<\/b>\r\n\r\n<b>-The numerical simulation through (Mpdx) and Taylor Series.<\/b>\r\n\r\nThe book covers broad categories of processes, formed by systems of partial differential equations (PDE), including systems of ordinary differential equations (ODE), analogically modeled and numerically simulated by (Mpdx).\r\n\r\nThe book includes numerous applications specific for the Systems-Theory, based on (Mpdx), such as parallel, serial and with feed-back connections for the processes defined by PDE. For similar more complex processes based on (Mpdx), having PDE and ODE as components, we have developed control schemes with PID effects, for the propagation phenomena, in continuous media (spaces) or discontinuous ones (chemistry, power system, thermoenergetic, metallurgy) or in electro-mechanics (railway \u2013 traction) and so on.\r\n\r\nThe volume is structures on the following parts, respectively chapters:\r\n\r\n<b>Ist PART: PROCESSES WITH LUMPED PARAMETERS<\/b>\r\n\r\nChapter 1.\u00a0<b>Linear processes invariant in time<\/b>\r\n\r\nChapter 2.\u00a0<b>Time varying linear processes<\/b>\r\n\r\nChapter 3.\u00a0<b>Non-linear processes with lumped parameters<\/b>\r\n\r\n<b>IInd PART: PROCESSES WITH DISTRIBUTED PARAMETERS<\/b>\r\n\r\nChapter 4.\u00a0<b>Linear processes with distributed parameters<\/b>\r\n\r\nChapter 5.\u00a0<b>Non-linear processes with distributed parameters<\/b>\r\n\r\nChapter 6.\u00a0<b>Truncation errors of the operator matrix (Mpdx)<\/b>\r\n\r\n<b>IIIrd PART: SIMULATION EXAMPLES<\/b>\r\n\r\nChapter 7.\u00a0<b>Modeling and simulation examples of lumped parameters processes<\/b>\r\n\r\nChapter 8.\u00a0<b>Modeling and simulation examples for distributed parameters\u00a0processes<\/b>\r\n\r\nChapter 9.\u00a0<b>Case studies for establishing the (Mpdx) matrix<\/b>\r\n\r\nChapter 10.\u00a0<b>Partial \u00a0derivative \u00a0equations \u00a0in the Cartesian space<\/b>\r\n\r\nChapter 11.\u00a0<b>Parallel, serial and with feed-back connection, for the processes\u00a0modeled through PDE<\/b>\r\n\r\nChapter 12.\u00a0<b>Control system with distributed and lumped parameters in the\u00a0Cartesian space \u2013cases studies<\/b>\r\n\r\nChapter 13.\u00a0<b>Numerical simulation using partial \u00a0differential equations, for\u00a0propagation and control in discontinuous structures processes<\/b>\r\n\r\nAppendix A1:\u00a0<b>Summary for (Mpdx) matrix<\/b>\r\n\r\nAppendix A2:\u00a0<b>Local-Iterative Linearization Method<\/b>\r\n\r\nAppendix A3:\u00a0<b>Regarding to the Convergence of the Local-Iterative Linearization\u00a0Method<\/b>\r\n\r\nThe work has a purely engineering nature and it has, as a target audience, extremely diverse applicative fields (propagation phenomena, diffusion, hydrodynamics, electro-mechanics) &#8211; where the use of (PDE) and (ODE) is justified &#8211; and for which the approximated solutions can assure a good compromise between the theoretical rigor and the relative errors cumulated in acceptable or negligible percentages.\r\n\r\nThe authors","protected":false},"excerpt":{"rendered":"<p>Tiberiu Colo\u015fi, Mihail Abrudean, Mihaela-Ligia Ungure\u015fan, Vlad Mure\u015fan Numerical Simulation of Distributed Parameter Processes Springer Verlag 2013, 340 pages The monography \u201cNumerical Simulation of Distributed Parameter Processes\u201d defines, interprets and uses the \u201cmatrix of partial derivatives of the state vector (Mpdx)\u201d with applications for the study of some common categories of engineering, of the processes [&hellip;]<\/p>\n","protected":false},"author":8,"featured_media":1485,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[87],"tags":[],"class_list":{"0":"post-1484","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-carti-publicate-de-catre-membrii-astr"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.7 (Yoast SEO v27.5) - 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