ARTICLE TITLE : A disturbance reduction scheme for linear small delay systems with modeling uncertainties
Publication year: 2010
Source: Journal of Process Control, In Press, Corrected Proof, Available online 20 May 2010</br>
Ming-Hau, Tsai , Pi-Cheng, Tung</br>
A disturbance reduction scheme for linear delay systems with modeling uncertainties is presented in this paper. The linear systems in this study are assumed to be nominally stable, minimum phase and relative degree one systems. The control structure is based on Astrom's modified Smith predictor with a disturbance reduction scheme and an artificial neural network (ANN). Unlike other disturbance rejection methods, the proposed scheme does not require information about unknown disturbance frequencies. The ANN is used to approximate a product of an inverse of a time delay and a nonnegative gain and to augment the robustness of the proposed approach...</br>


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