Abstract:
This paper proposes a general nonlinear adaptive predictor using a class of neurofuzzy models. The obtained predictor may be seen as a linear predictor network consisting...Show MoreMetadata
Abstract:
This paper proposes a general nonlinear adaptive predictor using a class of neurofuzzy models. The obtained predictor may be seen as a linear predictor network consisting of a global linear predictor and several local linear predictors with interpolation. It has distinctive features as well as good prediction ability: its parameters have explicit meanings useful for initial values setting: it may be transformed into a form linear for the variables synthesized in control systems, making deriving a control law straightforward.
Published in: 1999 European Control Conference (ECC)
Date of Conference: 31 August 1999 - 03 September 1999
Date Added to IEEE Xplore: 04 May 2015
Print ISBN:978-3-9524173-5-5