A novel approach to robust parameter estimation using neurofuzzy systems

Ivan N. da Silva, Lucia V.R. de Arruda and Wagner C. do Amaral

Mathematics and Computers in Simulation (MATCOM), 1999, vol. 48, issue 3, 251-268

Abstract: A novel approach for solving robust parameter estimation problems is presented for processes with unknown-but-bounded errors and uncertainties. An artificial neural network is developed to calculate a membership set for model parameters. Techniques of fuzzy logic control lead the network to its equilibrium points. Simulated examples are presented as an illustration of the proposed technique. The result represent a significant improvement over previously proposed methods.

Keywords: Robust parameter estimation; Neurofuzzy system; Artificial intelligence; Neural networks (search for similar items in EconPapers)
Date: 1999
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:48:y:1999:i:3:p:251-268

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