Borsuk S. Operators adaptive learning on the functional trainer

The dissertation is devoted to development and implementation of adaptive algorithms in the functional trainer subsystems. Significant scientifical and practical results that allows to solve recent problem of the functional trainers with adaptive algorithms as a mean for aviation branch specialists learning and testing development and implementation were received in the dissertation. Proposed structure of the functional trainer with adaptive algorithms, its subsystems structure and their computer implementation is shown. As a result the adaptive functional trainer hardware and software was developed. For the first time descriptive model of functional trainer that includes components of the learning process on the functional trainer of different abstract levels was developed. For the first time there was developed adaptive algorithms for every trainer subsystem that diferes from existing solutions by ability of influencing on such global education functional trainer process parameters as time proportion intended for every subsystem. Pertainment tables are developed as mean of logicaly solid theoretical information units registration as well as algebra for them.