Dynamic Simulation and Optimization II

Singh, R., Rutgers, The State University of New Jersey
Li, X., Queen's University

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. Applications and tools for dynamic simulation are considered, including large-scale, distributed parameter, and hybrid systems, as well as new algorithmic development in solving dynamic optimization problems, including robust and global optimization. Application areas and examples from various physical systems involving embedded dynamic constraints are also encouraged.



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