DocumentCode :
182799
Title :
Process modeling and simulation of distributed parameter using (Mpdx) method with approximating solutions
Author :
Sas, Diana Monica ; Unguresan, Mihaela-Ligia ; Colosi, Tiberiu ; Secara, M.
Author_Institution :
Dept. of Autom., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
fYear :
2014
fDate :
22-24 May 2014
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents a control system where the controlled plant is a distributed parameter process. Numerical simulation of the control system is accomplished using the method of Matrix of Partial Derivatives of the State Vector (Mpdx) associated with Taylor Series. By including a process modeled by a partial differential equation of second order with two independent variables, this presents (Mpdx) method with approximate solutions, which are needed to ensure the start of the calculations and to check the results.
Keywords :
distributed parameter systems; matrix algebra; partial differential equations; process control; series (mathematics); vectors; Mpdx method; Taylor series; approximating solutions; distributed parameter process; process modeling; process simulation; second order partial differential equation; state vector partial derivatives matrix; Closed loop systems; Computational modeling; Mathematical model; Numerical models; Numerical simulation; Vectors; approximating solutions; ordinary differential equation (ODE); partial differential equations(PDE); state vector;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation, Quality and Testing, Robotics, 2014 IEEE International Conference on
Conference_Location :
Cluj-Napoca
Print_ISBN :
978-1-4799-3731-8
Type :
conf
DOI :
10.1109/AQTR.2014.6857833
Filename :
6857833
Link To Document :
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