Identification and Control of a Benchmark Flexible Structure using Piezoelectric Actuators and Sensors
Keyword(s):
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.
2021 ◽
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2015 ◽
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1995 ◽
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pp. 316-324
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2000 ◽
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pp. 103-111
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