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Volumn 22, Issue 7, 2012, Pages 997-1014

Accurate pressure prediction of a servo-valve controlled hydraulic system

Author keywords

Hydraulic system; Long term prediction; Nonlinear system modeling; Pressure dynamics; Structured neural network

Indexed keywords

DYNAMICS; FORECASTING; HYDRAULIC TOOLS; NONLINEAR SYSTEMS; PNEUMATIC SERVOMECHANISMS;

EID: 84867861995     PISSN: 09574158     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mechatronics.2012.08.001     Document Type: Article
Times cited : (42)

References (41)
  • 1
    • 80052633303 scopus 로고    scopus 로고
    • Indirect adaptive control of an electrohydraulic servo system based on nonlinear backstepping
    • C. Kaddissi, J.P. Kenne, and M. Saad Indirect adaptive control of an electrohydraulic servo system based on nonlinear backstepping IEEE/ASME Trans Mech 16 6 2011 1171 1177
    • (2011) IEEE/ASME Trans Mech , vol.16 , Issue.6 , pp. 1171-1177
    • Kaddissi, C.1    Kenne, J.P.2    Saad, M.3
  • 2
    • 79955468810 scopus 로고    scopus 로고
    • Indirect adaptive robust control of hydraulic manipulators with accurate parameter estimates
    • A. Mohanty, and B. Yao Indirect adaptive robust control of hydraulic manipulators with accurate parameter estimates IEEE Trans Control Syst Technol 19 3 2011 567 575
    • (2011) IEEE Trans Control Syst Technol , vol.19 , Issue.3 , pp. 567-575
    • Mohanty, A.1    Yao, B.2
  • 3
    • 43849089593 scopus 로고    scopus 로고
    • Cascade control of hydraulically driven 6-DOF parallel robot manipulator based on a sliding mode
    • H. Guo, Y. Liu, G. Liu, and H. Li Cascade control of hydraulically driven 6-DOF parallel robot manipulator based on a sliding mode Control Eng Pract 16 2008 1055 1068
    • (2008) Control Eng Pract , vol.16 , pp. 1055-1068
    • Guo, H.1    Liu, Y.2    Liu, G.3    Li, H.4
  • 4
    • 47549114463 scopus 로고    scopus 로고
    • Adaptive sliding mode control of electro-hydraulic system with nonlinear unknown parameters
    • C. Guan, and S. Pan Adaptive sliding mode control of electro-hydraulic system with nonlinear unknown parameters Control Eng Pract 16 2008 1275 1284
    • (2008) Control Eng Pract , vol.16 , pp. 1275-1284
    • Guan, C.1    Pan, S.2
  • 5
    • 78651488131 scopus 로고    scopus 로고
    • Trajectory tracking control of a 6-DOF parallel robot manipulator with uncertain load disturbances
    • Y. Pi, and X. Wang Trajectory tracking control of a 6-DOF parallel robot manipulator with uncertain load disturbances Control Eng Pract 19 2011 185 193
    • (2011) Control Eng Pract , vol.19 , pp. 185-193
    • Pi, Y.1    Wang, X.2
  • 6
    • 77649236760 scopus 로고    scopus 로고
    • Training of neural models for predictive control
    • M. Lawrynczuk Training of neural models for predictive control Neurocomputing 73 2010 1332 1343
    • (2010) Neurocomputing , vol.73 , pp. 1332-1343
    • Lawrynczuk, M.1
  • 9
    • 78049293818 scopus 로고    scopus 로고
    • System identification using orthonormal basis filters
    • D.T. Lemma, M. Ramasamy, and M. Shuhaimi System identification using orthonormal basis filters J Appl Sci 10 21 2010 2516 2522
    • (2010) J Appl Sci , vol.10 , Issue.21 , pp. 2516-2522
    • Lemma, D.T.1    Ramasamy, M.2    Shuhaimi, M.3
  • 11
    • 0032445796 scopus 로고    scopus 로고
    • On-line identification of nonlinear systems using Volterra polynomial basis function neural networks
    • G.P. Liu, V. Kadirkamanathan, and S.A. Billings On-line identification of nonlinear systems using Volterra polynomial basis function neural networks Neural Networks 11 1998 1645 1657
    • (1998) Neural Networks , vol.11 , pp. 1645-1657
    • Liu, G.P.1    Kadirkamanathan, V.2    Billings, S.A.3
  • 12
    • 22944475815 scopus 로고    scopus 로고
    • On the interpretation and practice of dynamical differences between Hammerstein and Wiener models
    • L.A. Aguirre, M.C.S. Coelho, and M.V. Correa On the interpretation and practice of dynamical differences between Hammerstein and Wiener models Control Theory Appl 152 4 2005 349 356
    • (2005) Control Theory Appl , vol.152 , Issue.4 , pp. 349-356
    • Aguirre, L.A.1    Coelho, M.C.S.2    Correa, M.V.3
  • 14
    • 67349200040 scopus 로고    scopus 로고
    • Long-term prediction of chaotic time series with multi-step prediction horizons by a neural network with Levenberg-Marquardt learning algorithm
    • H. Mirzaee Long-term prediction of chaotic time series with multi-step prediction horizons by a neural network with Levenberg-Marquardt learning algorithm Chaos, Solitons Fractals 41 2009 1975 1979
    • (2009) Chaos, Solitons Fractals , vol.41 , pp. 1975-1979
    • Mirzaee, H.1
  • 15
    • 56549090156 scopus 로고    scopus 로고
    • Long-term time series prediction with the NARX network: An empirical evaluation
    • J. Maria, P. Menezes, and G. Baretto Long-term time series prediction with the NARX network: an empirical evaluation Neurocomputing 71 2008 3335 3343
    • (2008) Neurocomputing , vol.71 , pp. 3335-3343
    • Maria, J.1    Menezes, P.2    Baretto, G.3
  • 16
    • 0034269158 scopus 로고    scopus 로고
    • Multi-step-ahead prediction using dynamic recurrent neural networks
    • A.G. Parlos, O.T. Rais, and A.F. Atiya Multi-step-ahead prediction using dynamic recurrent neural networks Neural Networks 13 2000 765 786
    • (2000) Neural Networks , vol.13 , pp. 765-786
    • Parlos, A.G.1    Rais, O.T.2    Atiya, A.F.3
  • 17
    • 0029191714 scopus 로고
    • Detection of signals in chaos
    • S. Haykin, and X.B. Li Detection of signals in chaos Proc IEEE 83 1 1995 95 122
    • (1995) Proc IEEE , vol.83 , Issue.1 , pp. 95-122
    • Haykin, S.1    Li, X.B.2
  • 19
    • 70349295227 scopus 로고    scopus 로고
    • Black-box model identification for a continuously variable, electro-hydraulic semi-active damper
    • M. Witters, and J. Swevers Black-box model identification for a continuously variable, electro-hydraulic semi-active damper Mech Syst Signal Process 24 2010 4 18
    • (2010) Mech Syst Signal Process , vol.24 , pp. 4-18
    • Witters, M.1    Swevers, J.2
  • 20
    • 0001202594 scopus 로고
    • A learning algorithm for continually running fully recurrent neural networks
    • R.J. Williams, and D. Zipser A learning algorithm for continually running fully recurrent neural networks Neural Comput 1 1989 270 280
    • (1989) Neural Comput , vol.1 , pp. 270-280
    • Williams, R.J.1    Zipser, D.2
  • 21
    • 0028392483 scopus 로고
    • Learning long-term dependencies with gradient descent is difficult
    • Y. Bengio, P. Simard, and P. Frasconi Learning long-term dependencies with gradient descent is difficult IEEE Trans Neural Networks 5 1994 157 166
    • (1994) IEEE Trans Neural Networks , vol.5 , pp. 157-166
    • Bengio, Y.1    Simard, P.2    Frasconi, P.3
  • 23
    • 0031396995 scopus 로고    scopus 로고
    • Simulation of fluid power circuits using artificial network models. Part1: Selection of components models
    • J. Watton, and Y. Xue Simulation of fluid power circuits using artificial network models. Part1: Selection of components models IMechE 211 6 1997 417 428
    • (1997) IMechE , vol.211 , Issue.6 , pp. 417-428
    • Watton, J.1    Xue, Y.2
  • 24
    • 0033283681 scopus 로고    scopus 로고
    • Modeling and prediction of hydraulic servo actuators with neural networks
    • San Diego, California
    • He S, Sepehri N. Modeling and prediction of hydraulic servo actuators with neural networks. In: Proceedings of the American control conference, San Diego, California; 1999. p. 3708-12.
    • (1999) Proceedings of the American Control Conference , pp. 3708-3712
    • He, S.1    Sepehri, N.2
  • 25
    • 0026453958 scopus 로고
    • Training a 3-node neural network is NP-complete
    • A.L. Blum, and R.L. Rivest Training a 3-node neural network is NP-complete Neural Networks 5 1 1992 117 127
    • (1992) Neural Networks , vol.5 , Issue.1 , pp. 117-127
    • Blum, A.L.1    Rivest, R.L.2
  • 27
    • 0008808245 scopus 로고
    • Process identification and modeling using structured topologies of artificial neural networks
    • Artmeyer M, Lorenz RD, DeVries MF. Process identification and modeling using structured topologies of artificial neural networks. In: Proceedings of CIRP/VDI conference; 1995. p. 127-40.
    • (1995) Proceedings of CIRP/VDI Conference , pp. 127-140
    • Artmeyer, M.1    Lorenz, R.D.2    Devries, M.F.3
  • 28
    • 0027886626 scopus 로고
    • Neural network identification and compensation of gear backlash hysteresis in position controlled mechanisms
    • Seidl DR, Lam SL, Putman JA, Lorenz RD. Neural network identification and compensation of gear backlash hysteresis in position controlled mechanisms. In: Proceedings of IEEE IAS conference; 1993. p. 2027-34.
    • (1993) Proceedings of IEEE IAS Conference , pp. 2027-2034
    • Seidl, D.R.1    Lam, S.L.2    Putman, J.A.3    Lorenz, R.D.4
  • 29
    • 33947218870 scopus 로고    scopus 로고
    • Saliency tracking based sensorless control of AC machines using structured neural networks
    • P. Garcia, F. Briz, D. Raca, and R.D. Lorenz Saliency tracking based sensorless control of AC machines using structured neural networks IEEE Trans Ind Appl 43 1 2007 77 86
    • (2007) IEEE Trans Ind Appl , vol.43 , Issue.1 , pp. 77-86
    • Garcia, P.1    Briz, F.2    Raca, D.3    Lorenz, R.D.4
  • 30
    • 0036222384 scopus 로고    scopus 로고
    • General methodologies for neural network programming
    • M. Dolen, and R.D. Lorenz General methodologies for neural network programming Int J Smart Eng Syst Des 4 1 2002 63 73
    • (2002) Int J Smart Eng Syst des , vol.4 , Issue.1 , pp. 63-73
    • Dolen, M.1    Lorenz, R.D.2
  • 33
    • 77249092986 scopus 로고    scopus 로고
    • On quantitative feedback design for robust position control of hydraulic actuators
    • M. Karpenko, and N. Sepehri On quantitative feedback design for robust position control of hydraulic actuators Control Eng Pract 18 2010 289 299
    • (2010) Control Eng Pract , vol.18 , pp. 289-299
    • Karpenko, M.1    Sepehri, N.2
  • 34
    • 12344316710 scopus 로고    scopus 로고
    • Position control of an electro-hydraulic servo system using sliding mode control enhanced by fuzzy PI controller
    • M. Mihajlov, V. Nikolic, and D. Antic Position control of an electro-hydraulic servo system using sliding mode control enhanced by fuzzy PI controller Mech Eng 1 9 2002 1217 1230
    • (2002) Mech Eng , vol.1 , Issue.9 , pp. 1217-1230
    • Mihajlov, M.1    Nikolic, V.2    Antic, D.3
  • 35
    • 68349085764 scopus 로고    scopus 로고
    • Mathematical modeling and fuzzy logic based position control of an electrohydraulic servosystems with internal leakage
    • M. Kalyoncu, and M. Haydim Mathematical modeling and fuzzy logic based position control of an electrohydraulic servosystems with internal leakage Mechatronics 19 2009 847 858
    • (2009) Mechatronics , vol.19 , pp. 847-858
    • Kalyoncu, M.1    Haydim, M.2
  • 36
    • 0003396258 scopus 로고    scopus 로고
    • Technical report 00-E-891, Department of Automation, Technical University of Denmark
    • Norgaard M. Neural network based system identification toolbox. Technical report 00-E-891, Department of Automation, Technical University of Denmark; 2000.
    • (2000) Neural Network Based System Identification Toolbox
    • Norgaard, M.1
  • 37
    • 0027335201 scopus 로고
    • A new method for identifying orders of input-output models for nonlinear dynamical systems
    • San Francisco, USA
    • He X, Asada H. A new method for identifying orders of input-output models for nonlinear dynamical systems. In: Proceedings of American control conference, San Francisco, USA; 1993. p. 2520-23.
    • (1993) Proceedings of American Control Conference , pp. 2520-2523
    • He, X.1    Asada, H.2
  • 39
    • 52949146766 scopus 로고    scopus 로고
    • Application of differential evolution in system identification of a servo-hydraulic system with a flexible load
    • H. Yousefi, H. Handroos, and A. Soleymani Application of differential evolution in system identification of a servo-hydraulic system with a flexible load Mechatronics 18 2008 513 528
    • (2008) Mechatronics , vol.18 , pp. 513-528
    • Yousefi, H.1    Handroos, H.2    Soleymani, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.