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Volumn 20, Issue 4, 2006, Pages 447-454

Force control of hybrid actuator using learning vector quantization neural network

Author keywords

Force Control; Hybrid Actuator; Hydraulic System; Intelligent Control; Neural Network; Switching Control

Indexed keywords


EID: 33748327031     PISSN: 1738494X     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02916475     Document Type: Article
Times cited : (7)

References (15)
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  • 2
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    • Ahn, K.K.1
  • 6
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    • Multiobjective optimization of hydraulic actuation systems
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    • Andersson, J., Krus, P. and Wallace, D., 2000, "Multiobjective Optimization of Hydraulic Actuation Systems," In Proc. of ASME Design Automation Conf., Baltimore, USA, September 11-13.
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  • 7
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    • A simplified approach to force control for electro-hydraulic systems
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    • Alleyne, A.1    Liu, R.2
  • 9
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    • Online modeling and prediction of a hydraulic force-acting system using neuron networks
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    • He, S.1    Sepehri, N.2
  • 10
    • 0001629213 scopus 로고
    • Robust controller with disturbance rejection for hydraulic servo systems
    • Hung-Ching Lu and Wen-Chen Lin, 1993, "Robust Controller with Disturbance Rejection for Hydraulic Servo Systems," IEEE Trans. on Industrial Electronics, Vol.40, No. 1, pp. 157-162.
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    • Lu, H.-C.1    Lin, W.-C.2
  • 11
    • 0010769022 scopus 로고    scopus 로고
    • On the control of joint integrated servo actuators for mobile handling and robotic applications
    • st FPNI-PhD Symp. Hamburg, pp. 449-465.
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  • 13
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    • Robust force controller design for a hydraulic actuator base on experiment input-output data
    • San Diego, California
    • Navid Niksefat and Nariman Sepehri, 1999, "Robust Force Controller Design for a Hydraulic Actuator Base on Experiment Input-Output data," Proc. of the American Control Conf., San Diego, California.
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  • 14
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  • 15
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    • Robust speed control of a pump control motor system
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.