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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.

Record type: Conference or Workshop Item (Paper)


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.

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e-pub ahead of print date: July 2012
Published date: July 2012
Venue - Dates: 8th International Conference Intelligent Computing, China, 2012-07-25 - 2012-07-29
Organisations: Southampton Wireless Group


Local EPrints ID: 341401
PURE UUID: 64a99576-ddd2-4add-a132-158126e8d339

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Date deposited: 24 Jul 2012 10:39
Last modified: 18 Jul 2017 05:36

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Author: Xia Hong
Author: S. Iplikci
Author: Sheng Chen
Author: kevin Warwick

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