Abstract
The article deals with a problem of the control loop generation with subject to the adjustable parameter optimization of controlled objects and surveillance facilities. It was demonstrated that the parameter optimization leads to substantial decrease of the class of current problems ever looking up objects required to be distributed trivariate. The use of analytical dependence of the maximum test of distribution from initial three-dimensional probability matrix for achieving goals was suggested to solve problem while loop functioning. The construction of dependence is based on a known analytical approximation of the bivariate distribution algorithm. The analytical approximation of the bivariate distribution was detected without rigorous theoretical foundations but confirmed by experiments. Analytical dependence of three-dimensional distribution was examined; the research results accuracy was demonstrated. The control is restricted by the dimension of problem, where the solution carried out by the random search algorithm with required number of permutations becomes impossible.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
