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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/9557

Title: Identification research on improved PID neural network and its application
Authors: SHEN, Yongjun
Gu, X.
Bao, Qiaoliang
Issue Date: 2008
Publisher: IEEE
Citation: Intelligent Control and 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23. p. 2542-2547.
Abstract: PID neural network (PID-NN) is a new type of dynamic feed-forward network which combines neural network with PID control strategy. It performs a perfect function in process control with the merit of both general PID controller and neural network. In this paper, the concepts of variable integral and partial differential are introduced in the design of hidden-layer of PID-NN to improve the capabilities of neurons. The structure of system identification is analyzed, and the results of simulation with field data of wet FGD indicate the validity and superiority of this improved modeling approach.
URI: http://hdl.handle.net/1942/9557
DOI: 10.1109/WCICA.2008.4593323
ISI #: 000259965702016
ISBN: 978-1-4244-2113-8
Category: C1
Type: Proceedings Paper
Validation: ecoom, 2010
Appears in Collections: Research publications

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