2016 17th International Conference Computational Problems of Electrical Engineering (CPEE) 2016
DOI: 10.1109/cpee.2016.7738737
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Method of reduction for interval system of linear algebraic equations and its application to modeling a small hydroelectric power station

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Cited by 5 publications
(3 citation statements)
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“…Papers [11][12][13] propose the minimization of maximal prediction error in the range of values of input variables x χ ∈ r as the criterion of selecting the optimal "saturated block": If all the equations in ISLAE (4) are numbered: 1,...,i,...,N, respectively, then each equation in the "saturated block" has a unique number n j , where n is number of the equation from system (4), j=1,...,m is its index number in the "saturated block". Then expression (10) can be rewritten as:…”
Section: Estimation Methods For a Set Of Solutions To Interval System mentioning
confidence: 99%
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“…Papers [11][12][13] propose the minimization of maximal prediction error in the range of values of input variables x χ ∈ r as the criterion of selecting the optimal "saturated block": If all the equations in ISLAE (4) are numbered: 1,...,i,...,N, respectively, then each equation in the "saturated block" has a unique number n j , where n is number of the equation from system (4), j=1,...,m is its index number in the "saturated block". Then expression (10) can be rewritten as:…”
Section: Estimation Methods For a Set Of Solutions To Interval System mentioning
confidence: 99%
“…Let us choose a "saturated block" from ISLAE randomly, calculate its solution area and build the corridor of prediction by interval models: It should be noted that procedure (14) is simple as it is implemented for the finite set of points ,1,..., Papers [11][12][13] prove that if the vector max…”
Section: Methods Of Solving the Problem Of Optimal "Saturated Block" mentioning
confidence: 99%
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