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|Title:||N-step prediction using box-Jenkins methodology||Authors:||Srinivasan Venkatachari.||Keywords:||DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering||Issue Date:||2002||Abstract:||For modeling nonlinear systems, Artificial Neural Network (ANN) offers a promising alternative compared to the more conventional methods such as the Volterra series method and the Hammerstein model. ANN models are widely used in performing time series prediction. ANN models are trained and used as a single-step ahead predictor in control application.||URI:||http://hdl.handle.net/10356/3284||Rights:||Nanyang Technological University||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Theses|
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