Identification and simulation models in logistics control systems for production processes and freighting

摘要

The paper presents control methodology and algorithms for multi-agent systems based on predictive identification and simulation models. The efficiency of the technique proposed is understood as the stability of a compound dynamic system. An approach to system’s stability margin prediction based on associative search and wavelet analysis is offered.