Process modeling and simulation of distributed parameter using (Mpdx) method with approximating solutions

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 ( M pdx) associated with Taylor Series. By including a process modeled...

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Bibliographic Details
Published in:2014 IEEE International Conference on Automation, Quality and Testing, Robotics pp. 1 - 6
Main Authors: Sas, Diana Monica, Unguresan, Mihaela-Ligia, Colosi, Tiberiu, Secara, Mihai
Format: Conference Proceeding
Language:English
Published: IEEE 01.05.2014
Subjects:
approximating solutions
Closed loop systems
Computational modeling
Mathematical model
Numerical models
Numerical simulation
ordinary differential equation (ODE)
partial differential equations(PDE)
state vector
Vectors
ISBN:1479937312, 9781479937318
Online Access:Get full text
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Summary: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 ( M pdx) 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.
ISBN:1479937312
9781479937318
DOI:10.1109/AQTR.2014.6857833