EconPapers    
Economics at your fingertips  
 

Optimization of some dynamic industrial control processes by analog simulation

M. Jamshidi

Mathematics and Computers in Simulation (MATCOM), 1976, vol. 18, issue 2, 93-100

Abstract: The analog computer has, for several years, been used to simulate the dynamic behaviour of some electrical systems such as servomechanisms and other control systems. In this paper some dynamic industrial processes are first formulated and solved as an optimal control problem via the Pontryagin's maximum principle. The resulting policy will be either bang-bang or continuous in time depending on whether there is a constraint on the policy or not. Two cases of short-time dynamic industrial processes are considered. One is an inventory control process and the other a production scheduling problem. These processes are both simulated on an analog computer. The results obtained seem to be rather reasonable and predictable in accordance to the actual practice.

Date: 1976
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0378475476900197
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:18:y:1976:i:2:p:93-100

DOI: 10.1016/0378-4754(76)90019-7

Access Statistics for this article

Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens

More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:matcom:v:18:y:1976:i:2:p:93-100