Instruments and Systems: Monitoring, Control, and Diagnostics Annotation << Back Adaptive Management of Information Stochastic Subsystems With Limited Intervals of State Changes YU.YU. GROMOV, A.N. POTAPOV, A.V. BUNIN The issues of constructing algorithms for adaptive control of information stochastic subsystems (ISPS) of active homing complexes are considered. It is shown that in the absence of information, the trajectory of the information dynamic subsystem approaches the nominal one, which leads to the best conditions for prolongation of the goal. The use of suboptimal control, adaptive to interruptions of information, makes it possible to improve the quality of estimating the coordinates of the target by increasing the energy costs of management. The developed control adaptation algorithms can be used for systems with an arbitrary fi nite number of states, the presence of which is limited in time. The method of approximation of the ISPS with a non-Markov shift of discrete states by a scalar chain allows us to construct optimal, physically realizable regulators for systems with various types of absorption and recovery functions of realizations. Keywords: algorithm, stability, control, operator, information subsystem, model, information, identifi cation, system relations. DOI: 10.25791/pribor.3.2024.1482 Pp. 15-21.