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• W1976765984 abstract "Feedback linearization is a well-known technique in nonlinear control in which known system nonlinearities are canceled by the control input leaving a linear control problem. Feedback linearization requires an exact model for the system. Fundamental and advanced developments in neuro-fuzzy synergy for modeling and control are used to apply the feedback linearization control law on second-order plants. In the models that are used, the nonlinear plant is decomposed on six fuzzy systems necessary to apply the control signal to allow the following of a reference value. A practical application is also presented using a waste water plant. This method can be extended to multiple input–multiple output (MIMO) plants based on input–output data pairs collected directly from the plant." @default.
• W1976765984 created "2016-06-24" @default.
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• W1976765984 date "2005-03-01" @default.
• W1976765984 modified "2023-09-25" @default.
• W1976765984 title "Multivariable fuzzy control applied to the physical–chemical treatment facility of a Cellulose factory" @default.
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• W1976765984 doi "https://doi.org/10.1016/j.fss.2004.03.023" @default.
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