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This paper proposes a systematic methodology for robust operation of the utility plant.
The method needs long but industrially acceptable measurements for robust operation.
Design methods have been developed for robust operation and scale-up, using data obtained from analytical experiments.
The Caulobacter cell cycle control system has been exquisitely optimized as a total system for robust operation in the face of internal stochastic noise and environmental uncertainty.
An example from a pilot-scale process is used to demonstrate the approach and shows how the space for robust operation falls with increasingly stringent output specifications and for cases where the accuracy of control is limited.
In natural systems, the kinetics of the various elements has been evolutionarily optimized for robust operation.
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For example, it has been shown that nonlinear protein degradation is important for the robust operation as well as their evolvability in natural or engineered gene circuits [36].
Design space is proposed graphically for the robust operation of the method.
MADCABS has been used for a variety of research pursuits, including to study the effectiveness of perceptron-based learning for the robust operation of distributed chemical reactor networks.
Conditions for the robust operation of such systems on the basis of optimum cancellation, in relation to controller design, are determined.
The key design factors for operating in small communities in remote areas included low maintenance requirement (low chemical inventory, minimal onsite labour), high LRVs for pathogens, robust operation, and high automation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com