RÉSUMÉ

Extension of stochastic Petri nets which allows one to describe in terms of these nets the dynamics of Non-Markov processes of stochastic systems random structure is given. Elements (stochastic subsystems) of these systems have probabilistic relations. Novelty of the proposed model is defined by making simple Petri nets structural changes (introduction of restrictive event hyperarc), transition operation rules, set of additional attributes and their interrelation. Models can be applied as a base for analysis and synthesis of automatic control and complex systems under uncertainty conditions.