Abstract
This study explores the use of the feedback-linearization (FBL) paradigm using artificial neural networks (ANNs) to consider a force-control problem involving a complex electromechanical system, represented here by the machining process. The main goal is to control a single output variable, cutting force, by changing a single input variable, feed rate. Performance is assessed in terms of several performance measurements. The results demonstrate that the FBL strategy with ANNs provides good disturbance rejection for the cases analysed.
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Alique, J., Haber, R.E., Alique, A. (2003). Feedback Linearization Using Neural Networks: Application to an Electromechanical Process. In: Mira, J., Álvarez, J.R. (eds) Artificial Neural Nets Problem Solving Methods. IWANN 2003. Lecture Notes in Computer Science, vol 2687. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44869-1_96
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DOI: https://doi.org/10.1007/3-540-44869-1_96
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