[article]
| Titre : |
Infinite-mode networks for motion control |
| Type de document : |
texte imprimé |
| Auteurs : |
Yalcin, Baris, Auteur ; Kouhei Ohnishi, Auteur |
| Article en page(s) : |
pp. 2933 - 2944 |
| Note générale : |
Génie électrique |
| Langues : |
Anglais (eng) |
| Mots-clés : |
Artificial intelligence Haptics Infinite-mode networks (IMNs) Motion control Neural (NNs) Noise suppression Teleoperation Time delay |
| Index. décimale : |
621.38 Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X |
| Résumé : |
In this paper, a novel multiple-input-multiple-output network model entitled "infinite-mode networks" (IMNs) is explained. The model proposes a new and challenging design concept. It is a dual structure and combines neural networks (NNs) to linear models. It has mathematically clear input-output relationship as compared to NNs. The model has a desired embedded internal function, which roughly determines a route for the whole system to follow as DNA does for biological systems. By this model, infinitely many error dimensions can be defined, and each error converges to zero in a stable manner. The network outputs include logical combinations of infinite modes of reference states, which consequently result in a substantial improvement of the control system performance. In order to support the network theory, time-delay and noise-suppression experiments on a four-channel haptic bilateral teleoperation control system are analyzed. An analysis between NNs, sliding-mode NNs, and IMNs is introduced. Possible future applications of IMNs are discussed. |
| DEWEY : |
621.38 |
| ISSN : |
0278-0046 |
| En ligne : |
http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5061565 |
in IEEE transactions on industrial electronics > Vol. 56 N° 8 (Août 2009) . - pp. 2933 - 2944
[article] Infinite-mode networks for motion control [texte imprimé] / Yalcin, Baris, Auteur ; Kouhei Ohnishi, Auteur . - pp. 2933 - 2944. Génie électrique Langues : Anglais ( eng) in IEEE transactions on industrial electronics > Vol. 56 N° 8 (Août 2009) . - pp. 2933 - 2944
| Mots-clés : |
Artificial intelligence Haptics Infinite-mode networks (IMNs) Motion control Neural (NNs) Noise suppression Teleoperation Time delay |
| Index. décimale : |
621.38 Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X |
| Résumé : |
In this paper, a novel multiple-input-multiple-output network model entitled "infinite-mode networks" (IMNs) is explained. The model proposes a new and challenging design concept. It is a dual structure and combines neural networks (NNs) to linear models. It has mathematically clear input-output relationship as compared to NNs. The model has a desired embedded internal function, which roughly determines a route for the whole system to follow as DNA does for biological systems. By this model, infinitely many error dimensions can be defined, and each error converges to zero in a stable manner. The network outputs include logical combinations of infinite modes of reference states, which consequently result in a substantial improvement of the control system performance. In order to support the network theory, time-delay and noise-suppression experiments on a four-channel haptic bilateral teleoperation control system are analyzed. An analysis between NNs, sliding-mode NNs, and IMNs is introduced. Possible future applications of IMNs are discussed. |
| DEWEY : |
621.38 |
| ISSN : |
0278-0046 |
| En ligne : |
http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5061565 |
|
Infinite-mode networks for motion control in IEEE transactions on industrial electronics, Vol. 56 N° 8 (Août 2009)
