Please use this identifier to cite or link to this item:
標題: Identification and control of a benchmark flexible structure using piezoelectric actuators and sensors
作者: Lin, C.L.
Lee, J.P.
Liu, V.T.
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.
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.
ISSN: 1077-5463
DOI: 10.1177/107754603031168
Appears in Collections:電機工程學系所

Show full item record

Google ScholarTM




Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.