Indirect Measurements Via Polynomial Chaos Observer

This paper proposes an innovative approach to the design of algorithms for indirect measurements based on a polynomial chaos observer (PCO). A PCO allows the introduction and management of uncertainty in the process. The structure of this algorithm is based on the standard closed-loop structure of an observer originally introduced by Luenberger. This structure is here extended to include uncertainty in the measurement and in the model parameters in a formal way. Possible applications of this structure are then also discussed

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