B-spline neural networks based PID controller for Hammerstein systems


Hong, Xia, Iplikci, S., Chen, Sheng and Warwick, kevin (2012) B-spline neural networks based PID controller for Hammerstein systems At 8th International Conference Intelligent Computing, China. 25 - 29 Jul 2012. 12 pp.

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Description/Abstract

A new PID tuning and controller approach is introduced for Hammerstein systems based on input/output data. A B-spline neural network is used to model the nonlinear static function in the Hammerstein system. The control signal is composed of a PID controller together with a correction term. In order to update the control signal, the multi-step ahead predictions of the Hammerstein system based on the B-spline neural networks and the associated Jacobians matrix are calculated using the De Boor algorithms including both the functional and derivative recursions. A numerical example is utilized to demonstrate the efficacy of the proposed approaches.

Item Type: Conference or Workshop Item (Paper)
Venue - Dates: 8th International Conference Intelligent Computing, China, 2012-07-25 - 2012-07-29
Subjects:
Organisations: Southampton Wireless Group
ePrint ID: 341401
Date :
Date Event
July 2012e-pub ahead of print
July 2012Published
Date Deposited: 24 Jul 2012 10:39
Last Modified: 17 Apr 2017 16:47
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/341401

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