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|標題:||Identification and control of a benchmark flexible structure using piezoelectric actuators and sensors||作者:||Lin, C.L.
|關鍵字:||neural network;thin plate;flexible structural control;identification;thin plates;systems||Project:||Journal of Vibration and Control||期刊/報告no：:||Journal of Vibration and Control, Volume 9, Issue 12, Page(s) 1401-1420.||摘要:||
In this paper we propose a neural network approach for the identification and control of a benchmark flexible structure: a thin simply-supported plate with bonded piezoelectric film actuators and sensors. A specific linear differential inclusion is developed for a class of multilayer feedforward networks. With this technique, it is shown that the plant model identified by the neural network can be represented as a linear time-invariant system so that traditional or advanced linear control theory can be directly applied to design the stabilizing flexible structure controller.
|Appears in Collections:||電機工程學系所|
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