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Volumn 26, Issue 3, 2006, Pages 106-111

Precision position control for giant magnetostrictive actuator based on dynamic recurrent neural network

Author keywords

Dynamic recurrent neural network; Feedback error learning; Giant magnetostrictive actuator; Hysteretic nonlinearity; Real time compensation control

Indexed keywords

CLOSED LOOP CONTROL SYSTEMS; COMPUTER SIMULATION; FEEDBACK CONTROL; FEEDFORWARD NEURAL NETWORKS; NEURAL NETWORKS; ONLINE SYSTEMS; POSITION CONTROL; REAL TIME SYSTEMS; TWO TERM CONTROL SYSTEMS;

EID: 33646136875     PISSN: 02588013     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (7)

References (14)
  • 2
    • 0029313839 scopus 로고
    • Compensation of hysteresis in solid-state actuators
    • Schäfer J, Janocha H. Compensation of hysteresis in solid-state actuators[J]. Sensors and Actuators A, 1995, 49: 97-102.
    • (1995) Sensors and Actuators A , vol.49 , pp. 97-102
    • Schäfer, J.1    Janocha, H.2
  • 3
    • 3142607462 scopus 로고    scopus 로고
    • Modeling and control of hysteresis in magneto-strictive actuators
    • Tan X B, Baras J S. Modeling and control of hysteresis in magneto-strictive actuators[J]. Automatica, 2004, 40: 1469-1480.
    • (2004) Automatica , vol.40 , pp. 1469-1480
    • Tan, X.B.1    Baras, J.S.2
  • 4
    • 0345134877 scopus 로고    scopus 로고
    • A discrete-time compensation algorithm for hysteresis in piezoceramic actuators
    • Hu H, Mrad R B. A discrete-time compensation algorithm for hysteresis in piezoceramic actuators[J]. Mechanical Systems and Signal Processing, 2004, 18: 169-185.
    • (2004) Mechanical Systems and Signal Processing , vol.18 , pp. 169-185
    • Hu, H.1    Mrad, R.B.2
  • 5
    • 0037506938 scopus 로고    scopus 로고
    • Effects of Hysteresis compensation in feedback control systems
    • Cavallo A, Natale C, Pirozzi S, et al. Effects of Hysteresis compensation in feedback control systems[J]. IEEE Trans. Magn., 2003, 39(3): 1389-1392.
    • (2003) IEEE Trans. Magn. , vol.39 , Issue.3 , pp. 1389-1392
    • Cavallo, A.1    Natale, C.2    Pirozzi, S.3
  • 6
    • 2342450726 scopus 로고    scopus 로고
    • Feedback control systems for micropositioning tasks with Hysteresis compensation
    • Cavallo A, Natale C, Pirozzi S, et al. feedback control systems for micropositioning tasks with Hysteresis compensation[J]. IEEE Trans. Magn., 2004, 40(2): 876-879.
    • (2004) IEEE Trans. Magn. , vol.40 , Issue.2 , pp. 876-879
    • Cavallo, A.1    Natale, C.2    Pirozzi, S.3
  • 7
    • 1542271680 scopus 로고    scopus 로고
    • Dynamic model with hysteretic nonlinearity for giant magnetostrictive actuator
    • Cao Shuying, Wang Bowen, Yan Rongge, et al. Dynamic model with hysteretic nonlinearity for giant magnetostrictive actuator[J]. Proceedings of the CSEE, 2003, 23(11): 145-149.
    • (2003) Proceedings of the CSEE , vol.23 , Issue.11 , pp. 145-149
    • Cao, S.1    Wang, B.2    Yan, R.3
  • 8
    • 10644297466 scopus 로고    scopus 로고
    • Parameter identification of hysteretic model for giant magnetostrictive actuator using hybrid genetic algorithm
    • Cao Shuying, Wang Bowen, Zheng Jiaju, et al. Parameter identification of hysteretic model for giant magnetostrictive actuator using hybrid genetic algorithm[J]. Proceedings of the CSEE, 2004, 24(10): 127-132.
    • (2004) Proceedings of the CSEE , vol.24 , Issue.10 , pp. 127-132
    • Cao, S.1    Wang, B.2    Zheng, J.3
  • 9
    • 0023869287 scopus 로고
    • Feedback-error-learning neural network for trajectory control of a robotic manipulator
    • Miyamoto H, Kawato M, Setoyama T, et al. Feedback-error-learning neural network for trajectory control of a robotic manipulator[J]. Neural Networks, 1988, 1: 251-265.
    • (1988) Neural Networks , vol.1 , pp. 251-265
    • Miyamoto, H.1    Kawato, M.2    Setoyama, T.3
  • 10
    • 4344665898 scopus 로고    scopus 로고
    • Identification and model reference adaptive control for ultrasonic motor based on RBF neural network
    • Xia Changliang, Qi wenya, Yang Rong, et al. Identification and model reference adaptive control for ultrasonic motor based on RBF neural network[J]. Proceedings of the CSEE, 2004, 24(7): 117-121.
    • (2004) Proceedings of the CSEE , vol.24 , Issue.7 , pp. 117-121
    • Xia, C.1    Qi, W.2    Yang, R.3
  • 11
    • 0742290023 scopus 로고    scopus 로고
    • Adaptive control for uncertain nonlinear systems based on multiple neural networks
    • Lee C Y, Lee J J. Adaptive control for uncertain nonlinear systems based on multiple neural networks[J]. IEEE Trans. Systems. Man. Cybernetics-PART B: Cybernetics, 2004, 34(1): 325-333.
    • (2004) IEEE Trans. Systems. Man. Cybernetics - PART B: Cybernetics , vol.34 , Issue.1 , pp. 325-333
    • Lee, C.Y.1    Lee, J.J.2
  • 12
    • 12444345860 scopus 로고    scopus 로고
    • Study of control strategies for hydrogenerator system with doubly fed generators based on CMAC Neural network
    • Li Hui, Yang Shunchang. Study of control strategies for hydrogenerator system with doubly fed generators based on CMAC Neural network[J]. Proceedings of the CSEE, 2004, 24(12): 187-192.
    • (2004) Proceedings of the CSEE , vol.24 , Issue.12 , pp. 187-192
    • Li, H.1    Yang, S.2
  • 13
    • 0029207879 scopus 로고
    • Diagonal recurrent neural networks for dynamic systems control
    • Ku C C, Lee K Y. Diagonal recurrent neural networks for dynamic systems control[J]. IEEE Trans. Neural. Networks., 1995, 6(1): 144-156.
    • (1995) IEEE Trans. Neural. Networks. , vol.6 , Issue.1 , pp. 144-156
    • Ku, C.C.1    Lee, K.Y.2
  • 14


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.