International Federation of Automatic Control
3rd IFAC SYMPOSIUM on SYSTEM, STRUCTURE and CONTROL

Foz do Iguassu, Brazil October 17th - 19th, 2007

Wednesday Afternoon

Session WA3: Computational Algorithms for Control Design


Chair: Michel Gevers - Belgium
Co-chair: Karolos Grigoriadis - United States
Room: Santiago
2007-10-17
From 13:30 to 15:30
Projectional Dynamic Neural Network Observer
Alejandro García; Alexander Poznyak; Isaac Chairez; Tatyana Poznyak
Contact: Alejandro García - Mexico
13:30-13:50
Abstract:
The projectional method is applied to describe a novel class of dynamic neural network (DNN) observers, which tourn out to be useful when an uncertain nonlinear system, affected by external perturbations keeps its states in an a priori known compact set, defined by given state constraints (usually having physical meaning) independently of the measurement noise effects. The learning law for the weights associated adjustment with the DNN observation problem is derived. The illustrative example dealing with the soil contaminants degradation problem, demonstrates the nice workability of the suggested approach. Copyright © 2007 IFAC.