scholarly journals Using Modelica models in real time dynamic optimization – gradient computation

Author(s):  
Lars Imsland ◽  
Pål Kittilsen ◽  
Tor Steinar Schei
2007 ◽  
Vol 17 (3) ◽  
pp. 261-271 ◽  
Author(s):  
Nathaniel Peters ◽  
Martin Guay ◽  
Darryl DeHaan

2008 ◽  
Vol 41 (2) ◽  
pp. 3246-3251 ◽  
Author(s):  
Ali Mesbah ◽  
Alex N. Kalbasenka ◽  
Adrie E.M. Huesman ◽  
Herman J.M. Kramer ◽  
Paul M.J. Van den Hof

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Bai Xiao-ping ◽  
Zhao Yu-hong ◽  
Liu Ya-nan

The mine logistics transportation system with belt and surge links is often formed by a complex hybrid dynamic system that consists of continuous and discrete links, and these parts can have the complex changes along with the mining engineering going on. Studying the hybrid system with belt and surge links to fully realize its beneficial functions is very significant. Until now, there have been many references studying the logistics transportation hybrid system with belt and surge links, and many concepts about it have been set up. However, in these references, complicated real-time dynamic changes of the hybrid system usually is studied. This paper presents a novel approach to study real-time dynamic optimization analysis and simulation problems of complex mine logistics transportation hybrid system, which can be used to make optimization design for this kind of complex hybrid system. The proposed method considered expressly complicated real-time dynamic changing of the hybrid system comparing with some existing references and can solve some optimization design problems of the hybrid system. In addition, this paper used statistical data of a real logistics transportation system with belt and surge bin on simulation and gets some useful conclusions. The application result shows that the presented method is valid.


2006 ◽  
Vol 29 (4) ◽  
pp. 929-935 ◽  
Author(s):  
Martin Guay ◽  
J. Fraser Forbes

2008 ◽  
Vol 84 (3) ◽  
pp. 338-348 ◽  
Author(s):  
Nathaniel Peters ◽  
Martin Guay ◽  
Darryl Dehaan

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