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Volumn 8, Issue 4, 2012, Pages 801-810

Identification and learning control of ocean surface ship using neural networks

Author keywords

Adaptive neural network (NN) control; learning; persistent excitation (PE) condition; ship control; uncertain dynamics

Indexed keywords

ADAPTIVE NEURAL NETWORKS; LEARNING; PERSISTENT EXCITATION CONDITIONS; SHIP CONTROL; UNCERTAIN DYNAMICS;

EID: 84867972978     PISSN: 15513203     EISSN: None     Source Type: Journal    
DOI: 10.1109/TII.2012.2205584     Document Type: Article
Times cited : (215)

References (27)
  • 2
    • 84960364228 scopus 로고    scopus 로고
    • Autonomous underwater vehicle AQUA EXPLORER 2 for inspection of underwater cables
    • Tokyo, Japan
    • K. Asakawa, J. Kojima, Y. Kato, S. Matsumoto, and N. Kato, "Autonomous underwater vehicle AQUA EXPLORER 2 for inspection of underwater cables," in Proc. Int. Symp. Underwater Technol., Tokyo, Japan, 2000, pp. 242-247.
    • (2000) Proc. Int. Symp. Underwater Technol , pp. 242-247
    • Asakawa, K.1    Kojima, J.2    Kato, Y.3    Matsumoto, S.4    Kato, N.5
  • 4
    • 23944454684 scopus 로고    scopus 로고
    • Adaptive maneuvering, with experiments, for a model ship in a marine control laboratory
    • DOI 10.1016/j.automatica.2004.10.006
    • R. Skjetne, T. I. Fossen, and P. V. Kokotovic, "Adaptive maneuvering, with experiments, for a model ship in a marine control laboratory," Automatica, vol. 41, no. 2, pp. 289-298, 2005. (Pubitemid 41536579)
    • (2005) Automatica , vol.41 , Issue.2 , pp. 289-298
    • Skjetne, R.1    Fossen, T.I.2    Kokotovic, P.V.3
  • 7
    • 73449111308 scopus 로고    scopus 로고
    • Neural network architectures and learning algorithms
    • Dec
    • B. M. Wilamowski, "Neural network architectures and learning algorithms," IEEE Ind. Electron. Mag., vol. 3, no. 4, pp. 56-63, Dec. 2009.
    • (2009) IEEE Ind. Electron. Mag , vol.3 , Issue.4 , pp. 56-63
    • Wilamowski, B.M.1
  • 8
    • 77953120155 scopus 로고    scopus 로고
    • Improved computation for Levenberg-Marquardt training
    • Jun
    • B. M. Wilamowski and H. Yu, "Improved computation for Levenberg-Marquardt training," IEEE Trans. Neural Netw., vol. 21, no. 6, pp. 930-937, Jun. 2010.
    • (2010) IEEE Trans. Neural Netw , vol.21 , Issue.6 , pp. 930-937
    • Wilamowski, B.M.1    Yu, H.2
  • 9
    • 0000106040 scopus 로고
    • Universal approximation using radialbasis-function networks
    • J. Park and I. W. Sandberg, "Universal approximation using radialbasis-function networks," Neural Comput., vol. 3, no. 2, pp. 246-257, 1991.
    • (1991) Neural Comput , vol.3 , Issue.2 , pp. 246-257
    • Park, J.1    Sandberg, I.W.2
  • 10
    • 79951569015 scopus 로고    scopus 로고
    • Development and implementation of parameterized FPGA-based general purpose neural networks for online applications
    • Feb
    • A. Gomperts, A. Ukil, and F. Zurfluh, "Development and implementation of parameterized FPGA-based general purpose neural networks for online applications," IEEE Trans. Ind. Informat., vol. 7, no. 1, pp. 78-89, Feb. 2011.
    • (2011) IEEE Trans. Ind. Informat , vol.7 , Issue.1 , pp. 78-89
    • Gomperts, A.1    Ukil, A.2    Zurfluh, F.3
  • 11
    • 0036130465 scopus 로고    scopus 로고
    • Direct adaptive NN control of a class of nonlinear systems
    • DOI 10.1109/72.977306, PII S1045922702003569
    • S. S. Ge and C. Wang, "Direct adaptive NN control of a class of nonlinear systems," IEEE Trans. Neural Netw., vol. 13, no. 1, pp. 214-221, Jan. 2002. (Pubitemid 34236848)
    • (2002) IEEE Transactions on Neural Networks , vol.13 , Issue.1 , pp. 214-221
    • Ge, S.S.1    Wang, C.2
  • 12
    • 41349116072 scopus 로고    scopus 로고
    • Neural-network application for mechanical variables estimation of a two-mass drive system
    • Jun
    • T. Orlowska-Kowalska and K. Szabat, "Neural-network application for mechanical variables estimation of a two-mass drive system," IEEE Trans. Ind. Electron., vol. 54, no. 3, pp. 1352-1364, Jun. 2007.
    • (2007) IEEE Trans. Ind. Electron , vol.54 , Issue.3 , pp. 1352-1364
    • Orlowska-Kowalska, T.1    Szabat, K.2
  • 13
    • 80051791714 scopus 로고    scopus 로고
    • FPGA implementation of the multilayer neural network for the speed estimation of the two-mass drive system
    • Aug
    • T. Orlowska-Kowalska and M. Kaminski, "FPGA implementation of the multilayer neural network for the speed estimation of the two-mass drive system," IEEE Trans. Ind. Informat., vol. 7, no. 3, pp. 436-445, Aug. 2011.
    • (2011) IEEE Trans. Ind. Informat , vol.7 , Issue.3 , pp. 436-445
    • Orlowska-Kowalska, T.1    Kaminski, M.2
  • 14
    • 0029196703 scopus 로고
    • The use of artificial neural networks for the intelligent optimal control of surface ships
    • Jan
    • R. S. Burns, "The use of artificial neural networks for the intelligent optimal control of surface ships," IEEE J. Oceanic Eng., vol. 20, no. 1, pp. 65-72, Jan. 1995.
    • (1995) IEEE J. Oceanic Eng , vol.20 , Issue.1 , pp. 65-72
    • Burns, R.S.1
  • 15
    • 84867941736 scopus 로고    scopus 로고
    • Neural network model reference adaptive control of marine vehicles
    • Boston, MA: Birkhäuser
    • A. Leonessa, T. VanZwieten, and Y. Morel, "Neural network model reference adaptive control of marine vehicles," in Current Trends in Nonlinear Systems and Control. Boston, MA: Birkhäuser, 2006, pt. IV, pp. 421-440.
    • (2006) Current Trends in Nonlinear Systems and Control , Issue.PART 4 , pp. 421-440
    • Leonessa, A.1    Vanzwieten, T.2    Morel, Y.3
  • 16
    • 33745600569 scopus 로고    scopus 로고
    • Control of fully actuated ocean surface vessels using a class of feedforward approximators
    • DOI 10.1109/TCST.2006.872507
    • K. P. Tee and S. S. Ge, "Control of fully actuated ocean surface vessels using a class of feedforward approximators," IEEE Trans. Control Syst. Technol., vol. 14, no. 4, pp. 750-756, Jul. 2006. (Pubitemid 43983617)
    • (2006) IEEE Transactions on Control Systems Technology , vol.14 , Issue.4 , pp. 750-756
    • Tee, K.P.1    Ge, S.S.2
  • 17
    • 33144454972 scopus 로고    scopus 로고
    • Learning from neural control
    • DOI 10.1109/TNN.2005.860843
    • C. Wang and D. J. Hill, "Learning from neural control," IEEE Trans. Neural Netw., vol. 17, no. 1, pp. 130-146, Jan. 2006. (Pubitemid 43263946)
    • (2006) IEEE Transactions on Neural Networks , vol.17 , Issue.1 , pp. 130-146
    • Wang, C.1    Hill, D.J.2
  • 18
    • 0029326197 scopus 로고
    • Intelligent learning control, guest editor's introduction, special issue on intelligence and learning
    • P. J. Antsaklis, "Intelligent learning control, guest editor's introduction, special issue on intelligence and learning," IEEE Control Syst. Mag., vol. 15, no. 3, pp. 5-7, 1995.
    • (1995) IEEE Control Syst. Mag , vol.15 , Issue.3 , pp. 5-7
    • Antsaklis, P.J.1
  • 19
    • 0014765707 scopus 로고
    • Learning control systems-Review and outlook
    • K. S. Fu, "Learning control systems-Review and outlook," IEEE Trans. Automat. Control, vol. AC-15, no. 2, pp. 210-221, 1970.
    • (1970) IEEE Trans. Automat. Control , vol.AC-15 , Issue.2 , pp. 210-221
    • Fu, K.S.1
  • 20
    • 0017453462 scopus 로고
    • Exponential stability of linear equations arising in adaptive identification
    • B. D. O. Anderson, "Exponential stability of linear equations arising in adaptive identification," IEEE Trans. Automat. Control, vol. AC-22, no. 2, pp. 83-88, 1977.
    • (1977) IEEE Trans. Automat. Control , vol.AC-22 , Issue.2 , pp. 83-88
    • Anderson, B.D.O.1
  • 24
    • 69249140271 scopus 로고    scopus 로고
    • Deterministic learning of nonlinear dynamical systems
    • C. Wang, T. Chen, G. Chen, and D. J. Hill, "Deterministic learning of nonlinear dynamical systems," Int. J. Bifurcation Chaos, vol. 19, no. 4, pp. 1307-1328, 2009.
    • (2009) Int. J. Bifurcation Chaos , vol.19 , Issue.4 , pp. 1307-1328
    • Wang, C.1    Chen, T.2    Chen, G.3    Hill, D.J.4
  • 25
    • 0029271813 scopus 로고
    • Persistency of excitation in identification using radial basis function approximants
    • A. J. Kurdila, F. J. Narcowich, and J. D. Ward, "Persistency of excitation in identification using radial basis function approximants," SIAM J. Control Optimization, vol. 33, pp. 625-642, 1995.
    • (1995) SIAM J. Control Optimization , vol.33 , pp. 625-642
    • Kurdila, A.J.1    Narcowich, F.J.2    Ward, J.D.3
  • 26
    • 67650257194 scopus 로고    scopus 로고
    • Learning from neural control of nonlinear systems in normal form
    • T. Liu, C. Wang, and D. J. Hill, "Learning from neural control of nonlinear systems in normal form," Syst. Control Lett., vol. 58, no. 9, pp. 633-638, 2009.
    • (2009) Syst. Control Lett , vol.58 , Issue.9 , pp. 633-638
    • Liu, T.1    Wang, C.2    Hill, D.J.3
  • 27
    • 23944445038 scopus 로고    scopus 로고
    • Ph. D. dissertation Norwegian Univ. Sci. Technol., Trondheim, Norway
    • R. Skjetne, "The maneuvering problem," Ph. D. dissertation, Norwegian Univ. Sci. Technol., Trondheim, Norway, 2005.
    • (2005) The Maneuvering Problem
    • Skjetne, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.