Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9650906 | Fuzzy Sets and Systems | 2005 | 18 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
José M. Andújar, José M. Bravo,