Modified Smith predictor with a robust disturbance reduction scheme for linear systems with small time delays

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題名:	Modified Smith predictor with a robust disturbance reduction scheme for linear systems with small time delays
作者:	董必正;Tsai, Ming-Hau;Tung, Pi-Cheng
貢獻者:	工學院機械工程學系
關鍵詞:	Algorithms;Analysis;artificial neural network;disturbance reduction;Expert systems;modified Smith predictor;Neural networks;Studies;time delay
日期:	2012-09-01
上傳時間:	2026-04-23 15:18:17 (UTC+8)
出版者:	Wiley-Blackwell Publishing Ltd;Oxford: Blackwell Publishing Ltd
摘要:	摘要： This paper presents a robust disturbance reduction scheme using an artificial neural network (ANN) for linear systems with small time delays. It is assumed that the nominal linear systems are stable, minimum phase and relative degree one systems. The proposed structure is an integration of a modified Smith predictor and an ANN‐based disturbance reduction scheme. Unlike other disturbance rejection methods, the proposed approach does not require information about unknown load disturbance frequencies. An ANN is used to approximate the unknown load disturbances and to enhance the robustness of the proposed disturbance reduction scheme against modelling errors in the estimated time delay and the process model. Connective weights of the ANN are trained on‐line using a back‐propagation algorithm until uncertainties resulting from unknown load disturbances and modelling errors are minimized. The simulation results show the effectiveness of the presented disturbance reduction scheme for controlling linear delay systems subjected to step or periodic unknown load disturbances. 其他題名： Expert Systems 出版者： Oxford: Blackwell Publishing Ltd 出版日期： 2012-09 出處： Expert systems, 2012-09, Vol.29 (4), p.394-410 資源來源： EBSCOhost Business Source Premier 版權： 2011 Wiley Publishing Ltd 版權： Copyright © 2012 Wiley Publishing Ltd. 識別號： ISSN: 0266-4720 識別號： EISSN: 1468-0394 識別號： DOI: 10.1111/j.1468-0394.2011.00612.x
顯示於類別:	[機械工程學系] 期刊論文

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