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Journal Information-measuring and Control Systems №1 for 2013 г.
Article in number:
Regularization of ill-posed problems of predictive control in energy saving technologies
Authors:
L.S. Kazarinov, T.А. Barbasova
Abstract:
Predictive control is especially effective in resource saving technologies. Using predictive control makes possible to solve problems of energy consuming minimization in real time. The positive feature of predictive control is that energy effective decisions are worked out with anticipation before the resources will be used. Рredictive control assumes the current identification of response characteristics of a technological object, which setting in real conditions is generally ill-posed. Maintenance of technological objects is implemented according technological rules which generally consist in stabilizing of technological parameters. Hence current data may not contain the necessary information about process parameters. That leads to incorrectly set predictive control problems. A regularization method for ill-posed predictive control problems is proposed. The method is based on a current minimization of energy supply norms in processes.
Pages: 5-15
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