Abstract
In the paper a new algorithm of real system coordination is presented. The algorithm is based on the mathematical model of the system and takes advantage of the measurements made in the real system. Constraints imposed on the control variables in the real system are taken into account and after completing the coordination a feasible control is obtained. Convergence of the algorithm is proved under Kantorovich-type conditions. All considerations are made in Hilbert spaces.
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