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Volumn 223, Issue 6, 2009, Pages 655-668

Adaptive neuro-fuzzy inference system-based controllers for smart material actuator modelling

Author keywords

Modelling; Neuro fuzzy controller; Simulation; Smart material actuator; Testing

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; COOLING PHASE; ELECTRICAL CURRENT; EXPERIMENTAL DATA; FUZZY INFERENCE SYSTEMS; HYBRID METHOD; INTEGRATED CONTROLLERS; LEAST-MEAN-SQUARE METHODS; MATLAB/SIMULINK SOFTWARE; MODELLING; MORPHING WINGS; NEURO-FUZZY CONTROLLER; SIMULATION; SMART MATERIAL ACTUATOR; SMART MATERIALS;

EID: 70349406763     PISSN: 09544100     EISSN: None     Source Type: Journal    
DOI: 10.1243/09544100JAERO522     Document Type: Article
Times cited : (74)

References (6)
  • 4
    • 38949190680 scopus 로고    scopus 로고
    • Real-time intelligent pattern recognition algorithm for surface EMG signals
    • DOI 10.1186/1475-925X-6-45
    • Khezri, M. and Jahed, M. Real-time intelligent pattern recognition algorithm for surface EMG signals. BioMed. Eng. OnLine, 2007, 6, 45. DOI:10.1186/1475-925X-6-45. (Pubitemid 351211028)
    • (2007) BioMedical Engineering Online , vol.6 , pp. 45
    • Khezri, M.1    Jahed, M.2
  • 5
    • 34548014943 scopus 로고    scopus 로고
    • AffineTakagi-Sugeno fuzzy modelling algorithm by fuzzy c-regression models clustering with a novel cluster validity criterion
    • Kung,C.C. and Su, J.Y. AffineTakagi-Sugeno fuzzy modelling algorithm by fuzzy c-regression models clustering with a novel cluster validity criterion. IET Control Theory Appl., 2007, 1(5), 1255-1265.
    • (2007) IET Control Theory Appl. , vol.1 , Issue.5 , pp. 1255-1265
    • Kungc, C.1    Su, J.Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.