AIChE Journal Highlight: Decomposing Control and Optimization Problems Using Network Structures


Control and optimization problems are ubiquitous in process design and operations. However, the scale and complexity of these problems are constantly increasing. Decomposition is a common approach to reduce the complexity of such problems.

Decomposition refers to the partitioning of the problem into several subsystems or subproblems. For every sub-system, a corresponding computing agent (e.g., a controller or optimization solver) decides how to best solve that subsystem. To account for the interactions between the subsystems, the agents usually need to communicate to coordinate their decisions...

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