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In this paper, the use of SANE to optimize and control a bioreactor at its economically optimal steady state is discussed.
The optimization scheme consists of (i) an off-line expert system that determines the optimal steady state operation for a given thermal load, and (ii) an on-line optimization system that further improves the thermal efficiency to alleviate the influence caused by sensors' drift.
Then, the optimal steady control and the suboptimal periodic control are determined by numerical calculation.
This iterative search was integrated into a genetic algorithm in order to look up for optimal steady states.
Optimal steady state - bringing the gasification rate to a maximum - is defined and the model is linearized about this state.
The periodically optimal steady states are obtained by employing a periodic EMPC planner with the nominal model.
Similar(34)
A two-tiered approach is proposed, where an economics-based optimization problem is first solved to determine the optimal steady-state operating point, after which a dynamic optimization problem is solved to minimize a measure of the transition time to the new operating point.
The optimal steady-state (periodic) behavior is determined for the system in the analytical form.
These systems are designed to operate at an economically optimal steady-state.
The second QP guarantees optimal steady-state behaviour of the system.
An optimal steady-state sequential distributed filter has been derived and tested.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com