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This paper proposes a multiple‐model solution to the problem of controlling an air heating fan subject to faults. These faults are modeled by means of an abnormal unknown airflow input rate which the nominal controller is not designed for. Moreover, the average temperature of the air flowing through the system, which can be seen as an offset on the corresponding dynamics, is (slowly) time‐varying...
The problem of embedding sensor fault tolerance in the control of neuromuscular blockade of patients subject to anesthesia for surgery is considered. A hidden Markov model whose state, assumed unavailable for direct observation, is estimated using a nonlinear filtering algorithm (special case of Baum's algorithm), is proposed for detecting the faults. The resulting algorithm is illustrated by simulations...
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