Intelligent Algorithm of Measuring Complex for Aircrafts

The method of constructing a selective measuring complex with a variable structure is studied. For a high-precision determination of parameters in a dynamic object, a measuring complex with an intellectual component consisting of algorithms, which can construct prediction models and compare prediction results with current measurements is developed. The algorithmic support of the complex based on the theory of functional systems of P. K. Anokhin with the use of system synthesis, the estimation algorithm, self-organization algorithm with redundant trends, and criteria for degree of observability of the state variables for nonstationary systems are generated. In the algorithms of information processing complex models with increased degrees of observability of state variables are used.