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Proceedings Paper

FNN-based hyper-cylinder cluster and its application in the control of nonlinear systems
Author(s): Kai An; Shunfa Liu; Tongkai Zhao; Hongbin Chen
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Paper Abstract

It's considered a hard problem in adaptive control for the nonreversible nonlinear dynamic system with SISO to be controlled using the method of neural network (NN). After analysis about the causes why this type of systems is hard to be controlled this paper presents a fuzzy neural network (FNN) based hyper-cylinder cluster and its algorithm. A theorem shows that if it is used in the control of the system mentioned above, the static error may be small arbitrarily as long as the parameter (delta) in hyper-cylinder is small enough. The feasibility and the control effectiveness of the method are examined through simulation example of nonlinear dynamic system.

Paper Details

Date Published: 11 March 2002
PDF: 9 pages
Proc. SPIE 4739, Applications and Science of Computational Intelligence V, (11 March 2002); doi: 10.1117/12.458713
Show Author Affiliations
Kai An, Institute of Optics and Electronics (China)
Shunfa Liu, Institute of Optics and Electronics (China)
Tongkai Zhao, Institute of Optics and Electronics (China)
Hongbin Chen, Institute of Optics and Electronics (China)


Published in SPIE Proceedings Vol. 4739:
Applications and Science of Computational Intelligence V
Kevin L. Priddy; Paul E. Keller; Peter J. Angeline, Editor(s)

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