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Volumn 1, Issue 2, 2003, Pages 196-205

Active suspension system of a one-wheel car model using fuzzy reasoning and compensators

Author keywords

Active suspension; Compensator; Fuzzy reasoning single input rule modules; One wheel car model; Pneumatic actuator

Indexed keywords

ACTUATORS; DEGREES OF FREEDOM (MECHANICS); FUZZY CONTROL; MATHEMATICAL MODELS; NONLINEAR SYSTEMS; PERFORMANCE; PNEUMATIC EQUIPMENT; VEHICLE SUSPENSIONS;

EID: 2942621936     PISSN: 14710226     EISSN: None     Source Type: Journal    
DOI: 10.1504/IJVAS.2003.003540     Document Type: Article
Times cited : (7)

References (12)
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  • 2
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  • 3
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    • An active suspension for a vehicle travelling on -flexible beams with an irregular surface
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    • Yoshimura, T.1    Sugimoto, M.2
  • 4
    • 0001701693 scopus 로고
    • Design of active and semi-active automotive suspension using fuzzy logic
    • Sydney
    • Roukieh, S. and Titli, A. (1993) 'Design of Active and Semi-Active Automotive Suspension Using Fuzzy Logic', IFAC 12th World Congress Preprints of Papers, Vol. 2, pp. 253-257, Sydney.
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    • Roukieh, S.1    Titli, A.2
  • 5
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    • A fuzzy preview control scheme of active suspension for rough road
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  • 6
    • 0031076350 scopus 로고    scopus 로고
    • Active suspension of motor coaches using skyhook damper and fuzzy logic controls
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    • (1997) Control Engineering Practice , vol.5 , Issue.2 , pp. 175-184
    • Yoshimura, T.1    Isari, Y.2    Li, Q.3    Hino, J.4
  • 7
    • 0030831781 scopus 로고    scopus 로고
    • A semi-active suspension with dynamic absorbers of ground vehicles using fuzzy reasoning
    • Yoshimura, T., Nakaminami, K. and Hino, J. (1997b) 'A Semi-Active Suspension with Dynamic Absorbers of Ground Vehicles Using Fuzzy Reasoning', Int. J. Vehicle Design, Vol. 18, No. 1, pp. 19-34.
    • (1997) Int. J. Vehicle Design , vol.18 , Issue.1 , pp. 19-34
    • Yoshimura, T.1    Nakaminami, K.2    Hino, J.3
  • 8
    • 0027809014 scopus 로고
    • Fuzzy logic control of vehicle suspension systems
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  • 9
    • 0028698988 scopus 로고
    • Optimal active control of nonlinear vehicle suspensions using neural networks
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  • 10
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  • 11
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    • SIRMs connected fuzzy inference model using dynamic importance degrees
    • in Japanese
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.