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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/837

Title: Improved Identification of Nonlinear Dynamic Systems using Artificial Immune System
Authors: Nanda, S Jagannath
Panda, G
Majhi, B
Keywords: artificial immune systems
identification
multilayer perceptrons
nonlinear dynamical systems
Issue Date: 2008
Publisher: IEEE
Citation: Annual IEEE India Conference, 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
http://hdl.handle.net/2080/837
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