Pregled bibliografske jedinice broj: 424732
Synthesis of Artificial Neural Networks for Robot Control
Synthesis of Artificial Neural Networks for Robot Control // Strojarstvo, 36 (1994), 5-6; 223-232 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 424732 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Synthesis of Artificial Neural Networks for Robot Control
Autori
Novaković, Branko
Izvornik
Strojarstvo (0562-1887) 36
(1994), 5-6;
223-232
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Discrete Time systems; Neural Networks; One Step Learning Iteration; Robot Control
Sažetak
In this paper a new neural network (NN) architecture is introduced where an one step learning iteration approach is employed. The proposed NN synthesis procedures are useful for applications to identification and control of dynamical systems. In this sense, a neural network for an adaptive nonlinear robot control is presented. This neural network is trained to imitate an adaptive nonlinear robot control algorithm based on the dynamics of the full robot model of RRTR - structure.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Strojarstvo
POVEZANOST RADA
Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb
Profili:
Branko Novaković
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
Uključenost u ostale bibliografske baze podataka::
- ISMEC: Mechanical Engineering Abstracts
