Models And Algorithms For Abilities Evaluation Of Active Moving Objects Control System

One of the important problems in active moving objects control system (AMO CS) is the evaluation of goal abilities, i.e., potential of the system to perform its missions in different situations. Thus, the preliminary analysis of information and technological and goal abilities (GA and ITA) of AMO CS is very important in practice and can be used to obtain reasonable means of the АМО exploitation under different conditions. In the paper models and algorithms for abilities evaluation of AMO CS are proposed. ABBREVATIONS AND NOTATION AMO — active moving objects AS — attainable sets CS — control system CTS — complex technical systems GA — goal abilities ITA — informational and technological abilities IZ — interaction zone NFDDS — nonstationary finite-dimensional differential dynamic systems OS — object-in service OPS — optimal program control SDC — structure-dynamics control )) ( , , ( 0 0 t t t D f x — attainable sets (AS) )) ( , , ( 0 0 t t t D f x − — approximation of AS ) ( 0 t x — initial state vector of AMO CS ) ( f t x — end state vector of AMO CS 0 t — initial point of time f t — final time of the scheduling interval ) (t u — control vector, represents AMO control program εij(t) — element of the present time function of timespatial constraints (εij(t)∈{0,1})