• Aucun résultat trouvé

Adaptive Intelligent Control of the ABS Nonlinear Systems Using RBF Neural Network Based on K-Means Clustering

N/A
N/A
Info
Télécharger
Protected

Academic year: 2021

Partager "Adaptive Intelligent Control of the ABS Nonlinear Systems Using RBF Neural Network Based on K-Means Clustering"

Copied!
1
0
0

Chargement.... (Voir le texte intégral maintenant)

Texte intégral

(1)

Adaptive Intelligent Control of the ABS Nonlinear Systems

Using RBF Neural Network Based on K-Means Clustering

Authors

Hamou Ait Abbas, Abdelhamid Rabhi, Mohammed Belkheiri

Publication date

2020/4/13

Conference

International Conference on Electronic Engineering and Renewable Energy

Pages

503-512

Publisher

Springer, Singapore

Description

The anti-lock braking system (ABS) is an active safety system in road vehicles, which senses the slip value between the tyre and the road and utilizes these values to define the optimum braking force. Conventional control methods will not meet requirements due to uncertainties coming from vehicle dynamics and the high nonlinearity of the tyre and road interaction that are sources of instability. Therefore, we design an adaptive output feedback control methodology augmented via radial basis function neural network in order to force the slip dynamics to track a given smooth reference trajectory with bounded errors in the presence of high uncertainty. This result is achieved by extending the universal function approximation property of RBF NN together with the fast convergence of K-average clustering algorithm to model unknown system dynamics from input/output data. The effectiveness of the proposed control …

Références

Télécharger maintenant ( PDF - 1 Page - 241.61 KB )

Documents relatifs

Nonlinear adaptive output feedback control of series resonant DC-DC converters

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des

- تحديد مستويات معيارية لبعض محددات البدنية والمهارية لاختيار لاعبي كرة القدم تحت 20سنة

[r]

Intense co-circulation of non-influenza respiratory viruses during the first wave of pandemic influenza pH1N1/2009: a cohort study in Reunion Island

This study has outlined various features of the dynamics of viral co-circulation during the studied epidemic: i) pH1N1 and NIRVs (especially hRV), though largely

Nonlinear Adaptive Output Feedback Control of Series Resonant DC-DC Converters

the state observer is presented in Section III; the adaptive output feedback controller is designed in Section IV and the resulting closed-loop system is analyzed in

Recurrent Neural Network based control of an Oil Well

This work has shown that an online learning con- trol framework based on Echo State Networks and Recursive Least Squares is able to learn the inverse model of a system with

Place du traitement multimodal dans la prise en charge du cancer de la prostate haut risque.

[48] Zaffuto E, Gandaglia G, Fossati N, Dell’Oglio P, Moschini M, Cucchiara V, Suardi N, Mirone V, Bandini M, Shariat SF, Karakiewicz PI, Montorsi F, Briganti A,

An Intelligent Internet Search Assistant Based on the Random Neural Network

Our Intelligent Internet Search Assistant reorders the retrieved Y set of M-tuples showing only to the user the first Z set of M-tuples based on the low- est distance (MD) between

RBF Neural Network Based on K-means Algorithm with Density Parameter and Its Application to the Rainfall Forecasting

1) Comparing with the traditional K-means algorithm, the RBF network model based on the density parameter had its advantages for determining the number of clustering results and