da Silva, I. N.de Arruda, LVRdo Amaral, W. C.2014-05-202014-05-201999-02-01Mathematics and Computers In Simulation. Amsterdam: Elsevier B.V., v. 48, n. 3, p. 251-268, 1999.0378-4754http://hdl.handle.net/11449/8911A 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. (C) 1999 IMACS/Elsevier B.V. B.V. All rights reserved.251-268engrobust parameter estimationneurofuzzy systemartificial intelligenceneural networksArtigo10.1016/S0378-4754(98)00161-XWOS:000079961200001Acesso restrito