Dynamic Simulation and Optimization

Kawajiri, Y., Georgia Institute of Technology
Maravelias, C., University of Wisconsin-Madison

Most chemical and biochemical systems and process operations are dynamic in nature where improved understanding and the analysis of the system dynamics may lead to substantial improvements in the development and control of these systems. The session invites papers on the dynamic simulation, control and optimization of various such systems. New algorithmic development in solving dynamic optimization problems and applications and tools for dynamic simulation are considered, including large-scale, distributed parameter, and hybrid systems. Application areas and examples from various physical systems involving embedded dynamic constraints are also encouraged.



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