Neural Networks Approach to Automatic Startup and Control of An Exothermic Batch Reactor

Vemula, Rama Rao; Lee, Won-Kyoo

doi:10.23919/acc.1991.4791927

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1992

1998

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“…There are several studies of adaptive control of a batch chemical reactor (Katoh, Nakao, & Hanawa, 1989;Regev, Lewin, & Lavie, 1989;Rao & Lee, 1991) in which systems learn to maintain a predetermined optimum temperature profile. Ryhiner, Dunn, Heinzle, and Rohani (1992) have studied adaptive learning in a biochemical process by the method of steepest ascent.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Learning of Process Control and Profit Optimization Using a Classifier System

Gilbert

Bell

Valenzuela

1995

Evolutionary Computation

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A classifier system is used to learn control and profit optimization of a batch chemical reaction. Ability to learn different market conditions and changes to reaction parameters is demonstrated. The profit sharing algorithm is used for apportionment of credit. The greater effectiveness of the use of the genetic algorithm over apportionment of credit alone or the random replacement of low strength rules is also shown. The classifier system is unusual in having more than one action per rule.

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Section: Introductionmentioning

confidence: 99%