|
| << vorige | volgende >> |
Tijdschrift beschrijving
Alle jaargangen van het bijbehorende tijdschrift
Alle afleveringen van het bijbehorende jaargang
Alle artikelen van de bijbehorende aflevering
Details van artikel 33 van 44 gevonden artikelen
| Titel: |
Robust control of dynamical systems using neural networks with input-output feedback linearization |
| Auteur: |
Boom, Ton Van Den Botto, Miguel Ayala Costa, Jose Sa Da |
| Verschenen in: |
International journal of control |
| Paginering: | Jaargang 76 (2003) nr. 18 pagina's 1783-1789 |
| Jaar: |
2003-12-15 |
| Inhoud: |
This paper presents a control algorithm that combines three valuable features in robust and non-linear control, namely modelling using neural networks, input-output feedback linearization and LMI-based robust controller design. In the first step of the algorithm an affine description of a feedforward neural network model is derived. By performing an input-output feedback (IOF) linearization an uncertainty description of the IOF linearized system is derived based on the parametric uncertainties of the affine model. Then the LMI-based robust controller is designed by means of an optimization procedure. A key step in this procedure is the derivation of a polytopic boundary for the state-space matrices of the IOF linearized system based on the estimated parameters of the neural network and their uncertainty bounds. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 33 van 44 gevonden artikelen
| << vorige | volgende >> |