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Volumn 16, Issue 6, 1996, Pages 18-27

RBF Network Feedforward Compensation of Load Disturbance in Idle Speed Control

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; AUTOMOBILE ENGINES; DIFFERENTIAL EQUATIONS; FEEDBACK CONTROL; FEEDFORWARD NEURAL NETWORKS; MATHEMATICAL MODELS; NONLINEAR CONTROL SYSTEMS; NONLINEAR EQUATIONS; OPTIMAL CONTROL SYSTEMS;

EID: 0030386135     PISSN: 1066033X     EISSN: None     Source Type: Journal    
DOI: 10.1109/37.546267     Document Type: Article
Times cited : (30)

References (21)
  • 1
    • 0344160633 scopus 로고
    • Modeling of an internal combustion engine for control analysis
    • J. A. Cook and B. K. Powell, “Modeling of an internal combustion engine for control analysis,” IEEE Control Systems Magazine, vol. 13, no. 3, pp. 62-68, 1993.
    • (1993) IEEE Control Systems Magazine , vol.13 , Issue.3 , pp. 62-68
    • Cook, J.A.1    Powell, B.K.2
  • 3
    • 3743073624 scopus 로고
    • Training of Robust Neurocontrollers
    • Lake Buena Vista, FL, December
    • L. A. Feldkamp and G. V. Puskorius, “Training of Robust Neurocontrollers,” 33rd IEEE CDC, Lake Buena Vista, FL, December 1994.
    • (1994) 33rd IEEE CDC
    • Feldkamp, L.A.1    Puskorius, G.V.2
  • 4
    • 84968515237 scopus 로고
    • Scattered Data Interpolation: Test of Some Methods
    • R. Franke, “Scattered Data Interpolation: Test of Some Methods,” Math. of Computation, vol. 38, no. 157, pp. 181-200, 1982.
    • (1982) Math. of Computation , vol.38 , Issue.157 , pp. 181-200
    • Franke, R.1
  • 5
    • 0004063539 scopus 로고
    • Priors, Stabilizers, and Basis Functions: From Regularization to Radial
    • AI Memo No. 1430 (C.B.C.L. Paper No. 75), Artificial Intelligence Laboratory, MIT, June
    • F. Girosi, M. Jones, and T. Poggio, Priors, Stabilizers, and Basis Functions: From Regularization to Radial, Tensor and Additive Splines, AI Memo No. 1430 (C.B.C.L. Paper No. 75), Artificial Intelligence Laboratory, MIT, June 1993
    • (1993) Tensor and Additive Splines
    • Girosi, F.1    Jones, M.2    Poggio, T.3
  • 6
    • 79952553448 scopus 로고
    • Adaptive Filtering
    • Prentice-Hall, Englewood Cliffs, NJ
    • G. C. Goodwin and K. S. Sin. Adaptive Filtering, Prediction and Control. Prentice-Hall, Englewood Cliffs, NJ, 1984.
    • (1984) Prediction and Control
    • Goodwin, G.C.1    Sin, K.S.2
  • 7
    • 0029373360 scopus 로고
    • On the Persistency of Excitation in Radial Basis Function Network Identification of Nonlinear Systems
    • D. M. Gorinevsky, “On the Persistency of Excitation in Radial Basis Function Network Identification of Nonlinear Systems,” IEEE Tr on Neural Networks, vol. 6, no. 5, pp. 1237-1244, 1995.
    • (1995) IEEE Tr on Neural Networks , vol.6 , Issue.5 , pp. 1237-1244
    • Gorinevsky, D.M.1
  • 8
    • 0028748859 scopus 로고
    • An Algorithm for On-Line Parametric Nonlinear Least Square Optimization
    • Lake Buena Vista, FL, December
    • D. M. Gorinevsky, “An Algorithm for On-Line Parametric Nonlinear Least Square Optimization,” 33rd IEEE CDC, Lake Buena Vista, FL, December 1994.
    • (1994) 33rd IEEE CDC
    • Gorinevsky, D.M.1
  • 9
    • 3743150438 scopus 로고    scopus 로고
    • Control of Flexible Spacecraft Using Nonlinear Approximation of Input Shape Dependence on Reorientation Maneuver Parameters
    • San Francisco, CA, June
    • D. Gorinevsky and G. Vukovich, “Control of Flexible Spacecraft Using Nonlinear Approximation of Input Shape Dependence on Reorientation Maneuver Parameters,” 13th World Congress of IFAC, San Francisco, CA, June 1996.
    • (1996) 13th World Congress of IFAC
    • Gorinevsky, D.1    Vukovich, G.2
  • 10
    • 0003100963 scopus 로고
    • An Application of On-Line Parametric Optimization to Task-Level Learning Contro1
    • Seattle, WA, June
    • D. M. Gorinevsky, “An Application of On-Line Parametric Optimization to Task-Level Learning Contro1,” American Control Conf., Seattle, WA, June 1995.
    • (1995) American Control Conf.
    • Gorinevsky, D.M.1
  • 11
    • 3743148214 scopus 로고    scopus 로고
    • Sampled-Data Indirect Adaptive Control of Bioreactor Using Affine Radial Basis Function Network Architecture
    • (to appear).
    • D. M. Gorinevsky, “Sampled-Data Indirect Adaptive Control of Bioreactor Using Affine Radial Basis Function Network Architecture,” Tr. ASME. J. Dynam. Syst. Meas. and Control (to appear).
    • Tr. ASME. J. Dynam. Syst. Meas. and Control
    • Gorinevsky, D.M.1
  • 12
    • 0038672131 scopus 로고
    • Adaptive Learning of Feedforward Control Using Radial Basis Function Network Approximation
    • Chicago, IL, August
    • D. M. Gorinevsky, “Adaptive Learning of Feedforward Control Using Radial Basis Function Network Approximation,” 1993 IEEE Intern. Symp. on Intelligent Control, Chicago, IL, pp. 762-767, August 1993.
    • (1993) 1993 IEEE Intern. Symp. on Intelligent Control , pp. 762-767
    • Gorinevsky, D.M.1
  • 13
    • 0027802075 scopus 로고
    • Comparison of Inverse Manipulator Kinematics Approximations from Scattered Input-Output Data Using ANN-like Methods
    • San-Francisco, CA, June
    • D. M. Gorinevsky and T. H. Connolly, “Comparison of Inverse Manipulator Kinematics Approximations from Scattered Input-Output Data Using ANN-like Methods,” American Control Conf., San-Francisco, CA, pp. 751-755, June 1993.
    • (1993) American Control Conf. , pp. 751-755
    • Gorinevsky, D.M.1    Connolly, T.H.2
  • 14
    • 0025490985 scopus 로고
    • Networks for Approximation and Learning
    • T. Poggio and F. Girosi, “Networks for Approximation and Learning,” Proceedings of the IEEE, vo1.78, no.9, pp. 1481-1497, 1990.
    • (1990) Proceedings of the IEEE , vol.78 , Issue.9 , pp. 1481-1497
    • Poggio, T.1    Girosi, F.2
  • 15
    • 0001355838 scopus 로고
    • Radial Basis Functions for Multivariable Interpolation: A Review
    • J.C. Mason and M.G. Cox, eds., Clarendon Press, Oxford
    • M. J. D. Powell, “Radial Basis Functions for Multivariable Interpolation: A Review,” J.C. Mason and M.G. Cox, eds., Algorithms for Approximation, pp. 143-168, Clarendon Press, Oxford, 1987.
    • (1987) Algorithms for Approximation , pp. 143-168
    • Powell, M.J.D.1
  • 16
    • 0001739142 scopus 로고
    • The Theory of Radial Basis Function Approximation in 1990
    • W. Light, ed., Clarendon Press, Oxford
    • M. J. D. Powell, “The Theory of Radial Basis Function Approximation in 1990,” W. Light, ed., Advances in Numerical Analysis, vol. 2, pp. 102-205, Clarendon Press, Oxford, 1992.
    • (1992) Advances in Numerical Analysis , vol.2 , pp. 102-205
    • Powell, M.J.D.1
  • 17
    • 0028401031 scopus 로고
    • Neurocontrol of Nonlinear Dynamical Systems with Kalman Filter-Trained Recurrent Networks
    • G. V. Puskorius and L. A. Feldkamp, “Neurocontrol of Nonlinear Dynamical Systems with Kalman Filter-Trained Recurrent Networks,” IEEE Tr. on Neural Networks, vol. 5, no. 2, pp. 279-297, 1994.
    • (1994) IEEE Tr. on Neural Networks , vol.5 , Issue.2 , pp. 279-297
    • Puskorius, G.V.1    Feldkamp, L.A.2
  • 18
    • 3743111467 scopus 로고    scopus 로고
    • Dynamic Neural Network Methods Applied to On-Vehicle Idle Speed Control
    • Washington, D.C., June
    • G. V.Puskoris, L. A. Feldkamp, and L. I. Davis, Jr., “Dynamic Neural Network Methods Applied to On-Vehicle Idle Speed Control,” International Conference on Neural Networks, Washington, D.C., June 1996, pp. 238-243,
    • (1996) International Conference on Neural Networks , pp. 238-243
    • Puskoris, G.V.1    Feldkamp, L.A.2    Davis, L.I.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.