Guda A. Modelling of nonlinear dynamic systems adaptive-search identification processes

The dissertation is devoted to modeling of systems of adaptive-search identification, creation of new methods for nonlinear dynamic systems identification. In work new methods of adaptive-search systems of identification of complex dynamic systems are developed, information methods of an estimation of quality of their work are offered. The class of test nonlinear systems for research of working capacity of methods of identification is offered and investigated. Opportunities and characteristics of new adaptive-search methods on test models with use of information estimations are investigated. Connection between the unified parameters of identified system and admissible parameters of system of identification is established. The package of the applied programs is developed, allowing to model behavior of nonlinear dynamic systems.