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|Type:||Artigo de evento|
|Title:||Crhpc Using Volterra Models And Orthonormal Basis Functions: An Application To Cstr Plants|
|Abstract:||This work is focused on predictive control of non-linear systems modelled by Volterra series with orthonormal basis functions expansion (Volterra-OBF). By using Volterra series, any non-linear analytical operator with finite memory can be approximated with an arbitrary precision. A Laguerre basis expansion is then used in the model parameterization to reduce the number of coefficients of the Volterra model. In this context, a predictive control with terminal constraints window based on cited model is proposed. Finally, simulated results using a CSTR unit illustrates the control scheme performance.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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