Abstract: The article considers an intelligent automation system for optimization of the control process for forecasting the phase states of a linear discrete-time dynamical systems. The objective function of the control process estimates the guaranteed (minimax) result of forecasting the admissible states of the phase vector of the system. For the process under study, the formalization of a multi-step problem of optimization of program control for forecasting the state of the phase vectors of the system in a fixed period of time with a selected objective function is described. The solution to this problem is described in the form of a technique that allows for the implementation of intelligent automation of optimization of forecasting control. The proposed technique is implemented as a finite sequence of one-step operations that allow their algorithmization. The results obtained in the article can be used to develop and create intelligent computer systems for optimizing the control of complex dynamical objects.

Cite: Shorikov A.F.
Intelligent Automation System for Optimization of Control of Phase States Forecasting of Discrete-Time Dynamical Systems
7th International Conference on Intelligent and Fuzzy Systems 29-31 Jul 2025