Abstract
In Real-Time Optimization, the problem of optimizing the operating conditions of a plant is solved through iterative methods that directly use plant measurements. In this paper, a novel Exploitation-Exploration approach to solve this problem is proposed. Differently from a previously proposed Two-Step approach, consisting in strict exploitation and consecutive model update, in the Exploitation-Exploration approach an additional exploration step is included, in which an exploration input is constructed so that the updated model would approximately minimize the expectation of the objective function value for the new exploitation step. The proposed algorithm is described and its validity is shown through a numerical example, where it is compared to some common Real-Time Optimization schemes.
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