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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