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Self-optimizing control provides nearly optimal operation of process systems in face of varying disturbances, where the inputs are adjusted to hold selected controlled variables (c) at constant setpoints. It is possible to have better self-optimizing properties by controlling linear combinations of measurements (c = Hy) than by controlling individual measurements. Previous work 10 focussed on selecting combination matrix H to minimize worst-case loss, that arises due to the use of sub-optimaldoi:10.1021/ie070897+ fatcat:jba3f4xwijakzp4zrj43lzu6te