DSpace@nitr >
National Institue of Technology- Rourkela >
Conference Papers >

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/845

Title: Improved Identification of Nonlinear Dynamic Systems using Artificial Immune System
Authors: Nanda, S Jagannath
Panda, G
Majhi, B
Keywords: artificial immune systems
multilayer perceptrons
nonlinear dynamical systems
Issue Date: 2008
Publisher: IEEE
Citation: Annual IEEE India Conference, 2008. INDICON, Kanpur, December 11-13, 2008.
Abstract: Over the recent few years the area of artificial immune system (AIS) has drawn attention of many researchers due to its broad applicability to different fields. In this paper the AIS technique has been suitably applied to develop a new model for efficient identification of nonlinear dynamic system. Simulation study of few benchmark identification problems is carried out to show superior performance of the proposed model over the standard multilayer perceptron (MLP) approach in terms of response matching, number of training samples used and convergence speed achieved. Thus it is concluded that the AIS based model used is a preferred candidate for identification of nonlinear dynamic system.
URI: http://dx.doi.org/10.1109/INDCON.2008.4768838
Appears in Collections:Conference Papers

Files in This Item:

File Description SizeFormat
nanda1.pdf281KbAdobe PDFView/Open

Show full item record

All items in DSpace are protected by copyright, with all rights reserved.


Powered by DSpace Feedback