Ivashchenko V. The methods and algorithms for comparator identification of static sensor systems under limitations on the input information

This work is devoted to development of the comparator identification method and the binary predicates theory for modelling and analysis of linear systems with inaccessible for direct measuring input signals. The general methodology of mathematical modelling and identification based on comparator method is developed. The necessity of development and spreading of the comparator method to the intelligent systems is well-grounded. Two types of binary predicative models - the linear equivalence predicate and difunctionality predicate - are researched. The predicative models are defined either on the whole space of input signals or on its part, that is determined by the physical interpretation of the given model. For the first time the set of characteristic properties of linear predicates, which act on the positive cone, is achieved and researched. The developed methods are applied for several actual tasks.