Predictive control with mean derivative based neural euler integrator dynamic model

Autor: Paulo M. Tasinaffo, Atair Rios Neto

Publikováno v: Sba: Controle & Automação Sociedade Brasileira de Automatica v.18 n.1 2007
Sba: Controle & Automação Sociedade Brasileira de Automatica
Sociedade Brasileira de Automática (SBA)
instacron:SBA
Sba: Controle & Automação Sociedade Brasileira de Automatica, Volume: 18, Issue: 1, Pages: 105-94, Published: MAR 2007

Neural networks can be trained to get internal working models in dynamic systems control schemes. This has usually been done designing the neural network in the form of a discrete model with delayed inputs of the NARMA type (Non-linear Auto Regressiv

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