Design of Self-Tuning Regulator for Large-Scale Interconnected Hammerstein Systems
2016 ◽
Vol 2016
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pp. 1-13
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Keyword(s):
This paper deals with the self-tuning regulator for large-scale stochastic nonlinear systems, which are composed of several interconnected nonlinear monovariable subsystems. Each interconnected subsystem is described by discrete Hammerstein model with unknown and time-varying parameters. This self-tuning control is developed on the basis of the minimum variance approach and is combined by a recursive algorithm in the estimation step. The parametric estimation step is performed on the basis of the prediction error method and the least-squares techniques. Simulation results of the proposed self-tuning regulator for two interconnected nonlinear hydraulic systems show the reliability and effectiveness of the developed method.
1981 ◽
Vol 26
(4)
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pp. 959-961
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2001 ◽
Vol 34
(14)
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pp. 207-212
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Keyword(s):
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1982 ◽
Vol 36
(4)
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pp. 597-609
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