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1
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0016563220
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Counterexamples to general convergence of a commonly used recursive identification method
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Oct.
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L. Ljung, T. Soderstrom, and I. Gustavsson, “Counterexamples to general convergence of a commonly used recursive identification method,” IEEE Trans. Automat. Contr., vol. AC-20, pp. 643–652, Oct. 1975.
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IEEE Trans. Automat. Contr.
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, pp. 643-652
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Ljung, L.1
Soderstrom, T.2
Gustavsson, I.3
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2
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84939712854
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Theory and applications of adaptive regulators based on recursive identification
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Boston, MA, An extended version of this paper will appear in Automatica, Sept. 1977.
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K.J. Astrom, U. Borisson, L. Ljung, and B. Wittenmark, “Theory and applications of adaptive regulators based on recursive identification,” in Proc. 6th IFAC Congress, Boston, MA, 1975. An extended version of this paper will appear in Automatica, Sept. 1977.
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(1975)
Proc. 6th IFAC Congress
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Astrom, K.J.1
Borisson, U.2
Ljung, L.3
Wittenmark, B.4
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3
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0016523271
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Convergence properties of a method for state estimation in power systems
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July
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L. Ljung and S. Lindahl, “Convergence properties of a method for state estimation in power systems,” Int. J. Contr., vol. 22, pp. 113–118, July 1975.
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(1975)
Int. J. Contr.
, vol.22
, pp. 113-118
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Ljung, L.1
Lindahl, S.2
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5
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84860664968
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Convergence of recursive, stochastic algorithms
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Budapest, Sept.
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L. Ljung, “Convergence of recursive, stochastic algorithms,” in Proc. IFAC Symp. on Stochastic Control, Budapest, Sept. 1974.
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(1974)
Proc. IFAC Symp. on Stochastic Control
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Ljung, L.1
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6
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84939723306
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Strong convergence of a stochastic approximation algorithm
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to be published; also available as Rep. LiTH-ISY-I-0126, Linkoping University, Linkoping, Sweden.
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L. Ljung, “Strong convergence of a stochastic approximation algorithm,” Annals of Statistics, to be published; also available as Rep. LiTH-ISY-I-0126, Linkoping University, Linkoping, Sweden.
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Annals of Statistics
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Ljung, L.1
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7
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6244304450
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Dep. Automat. Contr., Lund Institute of Technology, Lund, Sweden, Rep. 7522.
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L. Ljung, “Theorems for the asymptotic analysis of recursive, stochastic algorithms,” Dep. Automat. Contr., Lund Institute of Technology, Lund, Sweden, Rep. 7522.
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Theorems for the asymptotic analysis of recursive, stochastic algorithms
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Ljung, L.1
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8
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0040475878
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Convergence of recursive stochastic algorithms
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Lund Institute of Technology, Lund, Sweden, Rep. 7403, Feb.
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L. Ljung, “Convergence of recursive stochastic algorithms,” Division of Automatic Control, Lund Institute of Technology, Lund, Sweden, Rep. 7403, Feb. 1974.
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(1974)
Division of Automatic Control
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Ljung, L.1
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9
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0003980507
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Berlin, Germany: Springer-Verlag
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W. Hahn, Stability of Motion. Berlin, Germany: Springer-Verlag, 1967.
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Stability of Motion
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Hahn, W.1
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11
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A stochastic approximation method
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H. Robbins and S. Monro, “A stochastic approximation method,” Ann. Math. Stat., vol. 22, pp. 400–407, 1951.
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Robbins, H.1
Monro, S.2
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12
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Multidimensional stochastic approximation methods
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J. Blum, “Multidimensional stochastic approximation methods,” Ann. Math. Stat., vol. 25, pp. 737–744, 1954.
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Ann. Math. Stat.
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Blum, J.1
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13
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0040742916
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(The method of potential functions in the theory of machine learning), Izd. Nauka, Moscow, (in Russian).
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M.A. Aizermann, E.M. Braverman, and L.I. Rozonoer, “Metod Potentsialnykh funktsij v teorii obuchenija mashin” (The method of potential functions in the theory of machine learning), Izd. Nauka, Moscow, 1970 (in Russian).
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Metod Potentsialnykh funktsij v teorii obuchenija mashin
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Aizermann, M.A.1
Braverman, E.M.2
Rozonoer, L.I.3
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17
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0001079593
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Stochastic estimation of the maximum of a regression function
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J. Kiefer and J. Wolfowitz, “Stochastic estimation of the maximum of a regression function,” Ann. Math. Stat., vol. 23, pp. 462–466, 1952.
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Ann. Math. Stat.
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Kiefer, J.1
Wolfowitz, J.2
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18
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0015414481
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Stochastic approximation algorithms for the local optimization of functions with non-unique stationary points
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H.J. Kushner, “Stochastic approximation algorithms for the local optimization of functions with non-unique stationary points,” IEEE Trans. Automat. Contr., vol. AC-17, pp. 646–655, 1972.
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Kushner, H.J.1
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19
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0016094513
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Stochastic approximation type methods for constrained systems: Algorithms and numerical results
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H.J. Kushner and T. Gavin, “Stochastic approximation type methods for constrained systems: Algorithms and numerical results,” IEEE Trans. Automat. Contr., vol. AC-19, pp. 349–358, 1974.
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Kushner, H.J.1
Gavin, T.2
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20
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84928938946
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Learning system theory
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L.A. Zadeh and E. Polak, Eds. New York: McGraw-Hill
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K.S. Fu, “Learning system theory,” in System Theory, L.A. Zadeh and E. Polak, Eds. New York: McGraw-Hill, 1969, pp. 425–166.
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System Theory
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Fu, K.S.1
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21
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84911294441
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Stochastic approximation algorithms for systems identification, estimation and decomposition of mixtures
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G.N. Saridis, Z.J. Nikolic, and K.S. Fu, “Stochastic approximation algorithms for systems identification, estimation and decomposition of mixtures,” IEEE Trans. Syst. Sci. Cybern., vol. SSC-5, pp. 8–15, 1969.
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Self-learning-What is it?
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Ya. Z. Tsypkin, “Self-learning-What is it?,” IEEE Trans. Automat. Contr., vol. AC-13, pp. 608–612, 1968.
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Tsypkin, Y.Z.1
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The method of potential functions in the problem of training machines to recognize patterns without a teacher
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E.M. Braverman, “The method of potential functions in the problem of training machines to recognize patterns without a teacher,” Automat. Remote Contr., vol. 27, pp. 1748–1770, 1966.
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Braverman, E.M.1
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24
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K.J. Astrom and P. Eykhoff, “System IdentificationA survey,” Automatica, vol. 7, pp. 123–164, 1971.
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Astrom, K.J.1
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26
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0016364016
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Optimum and adaptive array processing in frequence-wavenumber space
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Phoenix, AZ
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L.L. Scharf and D.C. Farden, “Optimum and adaptive array processing in frequence-wavenumber space,” in Proc. IEEE Conf. on Decision and Control, Phoenix, AZ, 1974, pp. 604–609.
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D.C. Farden, “Stochastic approximation with correlated data,” Dep. Elect. Eng., Colorado State University, Fort Collins, CO, ONR Tech. Rep. 11.
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Unbiased recursive identification using model reference adaptive techniques
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I.D. Landau, “Unbiased recursive identification using model reference adaptive techniques,” IEEE Trans. Automat. Contr., vol. AC-21, pp. 194–202, Apr. 1976.
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Lund Institute of Technology, Lund, Sweden, Rep. 7427
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T. Soderstrom, L. Ljung, and I. Gustavsson, “A comparative study of recursive identification methods,” Automatic Control, Lund Institute of Technology, Lund, Sweden, Rep. 7427, 1974.
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31
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84939746935
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Convergence of an adaptive filter algorithm
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to be published.
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L. Ljung, “Convergence of an adaptive filter algorithm,” Int. J. Contr., 1977, to be published.
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Int. J. Contr
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32
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0001642818
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On self-tuning regulators
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K.J. Astrom and B. Wittenmark, “On self-tuning regulators,” Automatica, vol. 9, pp. 185–199, 1973.
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Astrom, K.J.1
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84939752508
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On a stabilizing property of adaptive regulators
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in Preprints, Tbilisi, USSR, Paper 19. 1
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L. Ljung and B. Wittenmark, “On a stabilizing property of adaptive regulators,” in Preprints 4th IF A C Symp. Identification, Part 3, Tbilisi, USSR, Paper 19. 1, pp. 380–389, 1976.
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4th IF A C Symp. Identification
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Ljung, L.1
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35
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84904773005
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Two models for analyzing the dynamics of adaptation algorithms
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D.P. Derevitskii and A.L. Fradkov, “Two models for analyzing the dynamics of adaptation algorithms,” Automat, and Remote Contr., vol. 35, pp. 59–67, 1974.
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Brown University, Providence, RI, LCDS Tech. Rep. 76-1
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H.J. Kushner, “General convergence results for stochastic approximations via weak convergence theory,” Brown University, Providence, RI, LCDS Tech. Rep. 76–1, 1976.
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Convergence of recursive adaptive and identification procedures via weak convergence theory
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to be published.
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H.J. Kushner, “Convergence of recursive adaptive and identification procedures via weak convergence theory,” IEEE Trans. Automat. Contr., to be published.
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IEEE Trans. Automat. Contr
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