Optimal feed rate policy for systems with two reactions

Srinivasan, B.; Ubrich, O.; Bonvin, Dominique; Stoessel, Francis

doi:10.1016/s1474-6670(17)33855-7

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…This would not affect the type and sequence of intervals (u max followed by u saf ety and u min ) since the additional reaction does not introduce the possibility of independent competition for the reactant B as was shown in (Srinivasan et al 2001b). Thus, the proposed scheme would apply equally when in the presence of an additional unmodeled reaction.…”

Section: Discussionmentioning

confidence: 92%

Optimal operation of batch processes via the tracking of active constraints

Bonvin

Srinivasan

2003

ISA Transactions

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This paper presents a new measurement-based optimization framework for batch processes, whereby optimal operation is achieved via the tracking of active constraints. It is shown that, under mild assumptions and to a first-order approximation, tracking the necessary conditions of optimality is equivalent to tracking active constraints (both during the batch and at the end of the batch). Thus, the optimal input trajectories can be adjusted using measurements without the use of a model of the process. When only batchend measurements are available, the proposed method leads itself to an efficient batch-to-batch optimization scheme. The approach is illustrated via the simulation of a semi-batch reactor under uncertainty.

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Section: Discussionmentioning

confidence: 92%

Optimal operation of batch processes via the tracking of active constraints

Bonvin

Srinivasan

2003

ISA Transactions

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“…Though not applicable to all problems, the sequential approach using parsimonious parameterization can be used for a large variety of batch processes. In many batch optimization problems, it can be shown a priori that the solution is on the constraints [78]. Then, there is no necessity to search for the optimal inputs in the interior of the feasible region, thereby enhancing the numerical efficiency of the optimization procedure.…”

Section: Comparison Of Numerical Optimization Schemesmentioning

confidence: 99%