INTERVAL ESTIMATION SYSTEM DESIGN FOR TESTOSTERONE HORMONE DYNAMICS MODEL
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The paper deals with the interval observer design for nonlinear parameter-varying systems under assumption that the vector of scheduling parameters is not available for measurements. It is shown that the observer makes it possible to derive the area of system states estimates, which is guaranteed to contain the state value at a given time. The efficiency of the proposed approach is demonstrated by computer simulation of testosterone hormone dynamics system.
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