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 (M_pdx) 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; M_pdx 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