Anguita, Davide and Boni, Andrea and Tagliafico, Luca (2002) SVM Performance Assessment for the Control of Injection Moulding Processes and Plasticating Extrusion. UNSPECIFIED.
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This paper presents the application of a new and promising learning algorithm based on kernel methods, i.e., support vector machines (SVMs), for the control of injection moulding processes and plasticating extrusion. In particular, the main purpose of this work is to assess the effectiveness of the method when applied to such kinds of industrial processes, characterised by a large number of variables and strictly correlated by nonlinear relationships. First, we analyse the injection process by developing a simplified model, then we identify it by using a support vector machine. The reference of the control system is tracked through the design of a control block based on the structure of the SVM.
|Item Type:||Departmental Technical Report|
|Department or Research center:||Information Engineering and Computer Science|
|Subjects:||Q Science > QA Mathematics > QA075 Electronic computers. Computer science|
T Technology > TA Engineering (General). Civil engineering (General) > TA174 Engineering Design
|Uncontrolled Keywords:||Neural Networks, Learning Theory, Identification, Control Systems|
|Additional Information:||Accepted by International Journal of Systems Science|
|Repository staff approval on:||21 Jan 2003|
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