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Volumn , Issue , 2011, Pages 534-539

Characteristic analysis and modeling of a miniature pneumatic curling rubber actuator

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTERISTIC ANALYSIS; EXPERIMENTAL DATA; FRAGILE OBJECTS; HIGH SAFETY; MECHANICAL IMPEDANCES; MECHANICAL SYSTEMS; MOTION CHARACTERISTICS; NON-LINEAR MODEL; OUTPUT VARIABLES; PNEUMATIC PRESSURE; POTENTIAL APPLICATIONS; SOFT ACTUATORS; SUPPORT VECTOR REGRESSIONS;

EID: 80053613517     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (13)

References (13)
  • 3
    • 84944983143 scopus 로고
    • Applying a flexible microactuator to robotic mechanism
    • K. Suzumori, S. likura, and H. Tanaka, "Applying a flexible microactuator to robotic mechanism", IEEE Control Systems, vol. 12, no. 1, pp. 2122-2127, 1992.
    • (1992) IEEE Control Systems , vol.12 , Issue.1 , pp. 2122-2127
    • Suzumori, K.1    Likura, S.2    Tanaka, H.3
  • 5
    • 79959567482 scopus 로고    scopus 로고
    • A miniature pneumatic curling rubber actuator generating bidirectional motion with one air-supply tube
    • S. Wakimoto, K. Suzumori, and K. Ogura, "A miniature pneumatic curling rubber actuator generating bidirectional motion with one air-supply tube", Advanced Robotics, 2011.
    • (2011) Advanced Robotics
    • Wakimoto, S.1    Suzumori, K.2    Ogura, K.3
  • 6
    • 40549134208 scopus 로고    scopus 로고
    • A hierarchical graph neuron scheme for real-time pattern recognition
    • B. Nasution and A. Khan, "A hierarchical graph neuron scheme for real-time pattern recognition", IEEE Transactions on Neural Networks, vol. 19, no. 2, pp. 212-229, 2008.
    • (2008) IEEE Transactions on Neural Networks , vol.19 , Issue.2 , pp. 212-229
    • Nasution, B.1    Khan, A.2
  • 7
    • 0035311654 scopus 로고    scopus 로고
    • On the modeling of nonlinear dynamic systems using support vector neural networks
    • W. Chan, C. Chan, K. Cheung, and C. Harris, "On the modeling of nonlinear dynamic systems using support vector neural networks", Engineering Applications of Artificial Intelligence, vol. 14, no. 2, pp. 105-113, 2001.
    • (2001) Engineering Applications of Artificial Intelligence , vol.14 , Issue.2 , pp. 105-113
    • Chan, W.1    Chan, C.2    Cheung, K.3    Harris, C.4
  • 11
    • 53749102436 scopus 로고    scopus 로고
    • Non-Mercer hybrid kernel for linear programming support vector regression in nonlinear systems identification
    • Z. Lu and J. Sun, "Non-Mercer hybrid kernel for linear programming support vector regression in nonlinear systems identification", Applied Soft Computing, vol. 9, no. 1, pp. 94-99, 2009.
    • (2009) Applied Soft Computing , vol.9 , Issue.1 , pp. 94-99
    • Lu, Z.1    Sun, J.2
  • 12
    • 54549123407 scopus 로고    scopus 로고
    • Support vector machine-based two wheeled mobile robot motion control in noisy environment
    • L. Jiang, M. Deng, and A. Inoue, "Support vector machine-based two wheeled mobile robot motion control in noisy environment", J. of Systems and Control Engineering, vol. 222, no. 7, pp. 733-743, 2008.
    • (2008) J. of Systems and Control Engineering , vol.222 , Issue.7 , pp. 733-743
    • Jiang, L.1    Deng, M.2    Inoue, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.