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