NONLINEAR VIRTUAL REFERENCE FEEDBACK TUNING Application of Neural Networks to Direct Controller Design
نویسنده
چکیده
Abstract: Virtual Reference Feedback Tuning (VRFT) is a direct controller design methodology which can be applied both in the linear and nonlinear case. In this work, neural network controllers have been designed following nonlinear VRFT principles, conforming what could be considered a particular scheme of direct neural Model Reference Control. The approach has been applied to a simulated crane example, proposing alternative block diagrams with extra inputs. In this example, the neural VRFT is compared to the linear one.
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