Abstract
The aim of this paper is to present an algorithm of adjusting the real system outputs to given desired values, The controlled system is assumed to be described by an approximate mathematical model, i.e. differences between models (used by control units) and the real system characteristics are taken into account. The algorithm is designed for the optimizing control layer of the hierarchical (multilayer) control structure of the system. The goal of the control is to obtain such steady-state of the system that given values of real system outputs are achieved, the constraints are satisfied and optimality of performance is taken into account. To achieve these goals feedback information from the real system is used on-line in the algorithm, along with the mathematical models mentioned before. The system is assumed to be large-scale, consisting of interconnected subsystems. For such system the algorithm is completely decentralized, consisting of a set of its parts, each working with one subsystem. The algorithm is thoroughly presented and analysed in the paper, a number of numerical results is also given.
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