Pregled bibliografske jedinice broj: 696367
Non-Rule Based Fuzzy Approach for Adaptive Control Design of Nonlinear Systems
Non-Rule Based Fuzzy Approach for Adaptive Control Design of Nonlinear Systems // Asian journal of control, 17 (2015), 2; 582-591 doi:10.1002/asjc.893 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 696367 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Non-Rule Based Fuzzy Approach for Adaptive Control Design of Nonlinear Systems
Autori
Wang, Yinhe ; Luo, Liang ; Novaković, Branko ; Kasać, Josip
Izvornik
Asian journal of control (1561-8625) 17
(2015), 2;
582-591
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
fuzzy logic systems without any rules; adaptive control
Sažetak
A novel adaptive control approach is presented using extended fuzzy logic systems without any rules. First, the extended fuzzy logic systems without any rules are used to approximate the uncertainties. Then the sliding mode controllers via the proposed extended fuzzy logic systems without any rules are proposed for uniformly ultimately bounded (UUB) nonlinear systems. The adaptive laws are used for estimating the approximation accuracies of fuzzy logic systems without any rules, Lipschitz constants of uncertain functions and scalar factor, respectively, which are not directly to estimate the coefficients of basis functions. Finally, a compared simulation example is utilized to demonstrate the effectiveness of the approach proposed in this paper.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
Napomena
S.I.: Tensor Product (TP) Model Transformation-Based Control System Design.
POVEZANOST RADA
Projekti:
120-1201842-3048 - Umjetna inteligencija u upravljanju složenim nelinearnim dinamičkim sustavima (Kasać, Josip) ( CroRIS)
Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- 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::
- INSPEC
