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• W1571606645 abstract "This paper presents an optimal predictor and a self-tuning control scheme to solve the regulation problem of large-scale systems. We consider the class of large-scale nonlinear system which can be decomposed into single-input single-output interconnected nonlinear subsystems. Each interconnected subsystem can operate in a stochastic environment and described by discrete-time Hammerstein mathematical model, with unknown time-varying parameters. Self-tuning regulator algorithm for large-scale nonlinear stochastic systems is developed on the basis upon the minimum variance approach with implicit scheme. The performance of the proposed self-tuning regulator is evaluated by simulation example." @default.
• W1571606645 created "2016-06-24" @default.
• W1571606645 creator A5038041759 @default.
• W1571606645 creator A5047151209 @default.
• W1571606645 date "2015-04-01" @default.
• W1571606645 modified "2023-09-25" @default.
• W1571606645 title "Optimal predictor and implicit self-tuning regulator for a class of Hammerstein large-scale systems" @default.
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• W1571606645 doi "https://doi.org/10.1109/icosc.2015.7152768" @default.
• W1571606645 hasPublicationYear "2015" @default.
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