Abstract: A method for estimating a status of a system includes performing independent measurements on the system, associating a value P(?) with a Monte Carlo calculated probability measure P(?), which depends on (1) a preset threshold Nu of unfavorable events, and (2) a total number Ñtot(?) of the independent measurements for collecting the preset threshold Nu, setting a threshold level ? requiring that a critical value ?c of a power related metric ? makes a value P(?c) of the probability measure P to be substantially equal to the threshold level ?, comparing the total number Ñtot(?) to a ratio of (1) a product of a control parameter ? the preset threshold Nu, and (2) the threshold level ?, and interrupting the independent measurements if Ñtot(?) is larger than the ratio, or increasing an output of the system if Ñtot(?) is smaller than or equal to the ratio.

Abstract: A method for estimating a status of a system includes performing independent measurements on the system, associating a value P(?) of a probability measure P, when applied to a power related metric ?, with a Monte Carlo calculated probability measure P(?), which depends on (1) a preset threshold Nu of unfavorable events extracted from the measurements, and (2) a total number Ñtot(?) of the independent measurements for collecting the preset threshold Nu of the unfavorable events, setting a threshold level ? uniquely associated with the system, requiring that a critical value ?c of the power related metric ? makes a value P(?c) of the probability measure P to be substantially equal to the threshold level ?, comparing the total number Ñtot(?) of independent measurements to a ratio of (1) the preset threshold Nu of the unfavorable events, and (2) the threshold level ?, where the ratio is multiplied by a control parameter E, and interrupting the independent measurements if the total number Ñtot(?) is larger than th