ADAPTx Reference List

This is a selected list of references related to the ADAPTx software. Some of these can be obtained by downloading from the Adaptics ftp site,

  1. Akaike, H. (1976). ``Canonical Correlation Analysis of Time Series and the Use of an Information Criterion,'' { System Identification: Advances and Case Studies, R.K. Mehra and D.G. Lainiotis, eds., New York: Academic Press, pp. 27-96.
  2. Akaike, H. (1975), ``Markovian Representation of Stochastic Processes by Canonical Variables,'' SIAM J. Control., Vol. 13, pp. 162-173
  3. Akaike, H. (1974), ``Stochastic Theory of Minimal Realization,'' IEEE Trans. Automatic Control, Vol. 19, pp. 667-674.
  4. Akaike, H. (1973), ``Information Theory and an Extension of the Maximum Likelihood Principle,'' 2nd International Symposium on Information Theory, Eds. B.N. Petrov and F. Csaki, pp. 267-281. Budapest: Akademiai Kiado.
  5. Anderson, T.W. (1958), An Introduction to Multivariate Statistical Analysis, New York: Wiley.
  6. Bjorck, A., and Golub, G.H. (1973), ``Numerical Methods for Computing Angles Between Subspaces,'' Numer. Math., Vol. 27, pp. 579-94.
  7. Brent, R., and F. Luk (1985), ``The Solution of Singular-Value and Symmetric Eigenvalue Problems on Multiprocessor Arrays,'' SIAM J. Scientific and Statistical Computing, Vol. 6, pp. 69-84.
  8. Candy, J.V., Bullock, T.E., and Warren, M.E. (1979), ``Invariant Description of the Stochastic Realization,'' Automatica, Vol. 15, pp. 493-5.
  9. Carroll, J.V. (1990), ``A Method of Robust Identification and Control of Flexible Space Structures, '' 29th IEEE Conference on Decision and Control
  10. Carroll, J.V., and W.E. Larimore (1986), ``Identification and Control of Battle Damaged Aircraft,'' presented at NAECON Conference, Dayton, Ohio.
  11. Ewerbring, L.M., R.T. Luk (1990), ``Parallel Algorithms for Canonical Variates Computation, '' 29th IEEE Conference on Decision and Control
  12. Gelfand, I.M., and Yaglom, A.M. (1959), ``Calculation of the Amount of Information About a Random Function Contained in Another Such Function,'' Amer. Math. Soc. Trans., Series (2), Vol. 12, pp. 199-236 (original Usp. Mat. Nauk., Vol. 12, 3-52, 1956).
  13. Gevers, M. and Wertz, V. (1982), ``On the Problem of Structure Selection for the Identification of Stationary Stochastic Processes'', Sixth IFAC Symposium on Identification and System Parameter Estimation, Eds. G. Bekey and G. Saridis), Washington D.C.: McGregor & Werner, pp. 387-92.
  14. Golub, G.H. (1969). Matrix Decompositions and Statistical Calculations, Statistical Computation, R.C. Milton and J.A. Nelder, eds., New York: Academic Press, pp. 365-379.
  15. Hannan, E.J., and M. Deistler (1988), The Statistical Theory of Linear Systems, New York: John Wiley & Sons.
  16. Hotelling, H. (1936). ``Relations Between Two Sets of Variates'', Biometrika, Vol. 28, pp. 321-377.
  17. Hurvich, C.M., R. Shumway and C.L. Tsai (1990), ``Improved Estimators of Kullback-Leibler Information for Autoregressive Model Selection in Small Samples,'' Biometrika, Vol. 77, pp. 709-720.
  18. Hurvich, C.M. and C.L. Tsai (1991), ``Bias of the Corrected AIC Criterion for Underfitted Regression and Time Series Models,'' Biometrika Vol. 78, pp. 499-510.
  19. Hurvich, C.M. and C.L. Tsai (1989), ``Regression and Time Series Model Selection in Small Samples,'' Biometrika Vol. 76, pp. 297-307.
  20. Juricek, B.C., D.E. Seborg, and W.E. Larimore (2000), ``Identification of the Tennessee Eastman Challenge Process with Subspace Methods,'' in Preprints of Symposium on System Identification 2000, held June 21-23, 2000, Santa Barbara, CA.
  21. Juricek, B.C., W.E. Larimore and D.E. Seborg (1998), ``Reduced-Rank ARX and Subspace System Identification for Process Control,'' in Preprints of 5th IFAC Symposium on Dynamics and Control of Porcess Systems, held June 8-10, 1998, Corfu, Greece, pp. 245-50.
  22. Kailath, T. (1974), ``A View of Three Decades of Linear Filter Theory,'' IEEE Trans. Info. Theory, Vol. 20, pp. 146-181.
  23. Kemna, A.K., D.A. Mellichamp, D.E. Seborg, and N. Sweerus (1992), ``Dynamic Models of Recovery Boilers from Input-Output Data,'' 1992 International Chemical Recovery Conference, June 7-11, 1992, Seattle, WA. pp. 305-15
  24. Kemna, A.K., W.E. Larimore, D.E. Seborg, and D.A. Mellichamp (1994), ``On-line Multivariable Identification and Control of Chemical Processes Using Canonical Variate Analysis,'' Proc. 1994 American Control Conference, held June 28 - July 1, 1994, Baltimore, MD.
  25. Khatri, C.G. (1976), ``A Note on Multiple and Canonical Correlation for a Singular Covariance Matrix,'' Psychometrika, Vol. 41, pp. 465-70.
  26. Krieger, D., R. Nakamura, M. Dillbeck, R. Coppola, R.J. Sclabassi (1990), ``Resonant Neuroelectric Patterns Evoked By a Cognitive Task, '' 29th IEEE Conference on Decision and Control
  27. Kullback, S. (1959). Information Theory and Statistics, Dover.
  28. Larimore, W.E. (2000), ``Identification of Colinear and Cointegrated Multivariable Systems Using Canonical Variate Analysis,'' in Preprints of Symposium on System Identification 2000, held June 21-23, 2000, Santa Barbara, CA.
  29. Larimore, W.E. (2000), ``The ADAPTx Software for Automated Multivariable System Identification,'' in Preprints of Symposium on System Identification 2000, held June 21-23, 2000, Santa Barbara, CA.
  30. Larimore, W.E. (1999), ``Automated Multivariable System Identification and Industrial Applications,'' Proc. 1999 American Control Conference, June 24, 1999, San Diego, CA, pp. 1148-1162.
  31. Larimore, W.E. (1997), ``Canonical Variate Analysis in Control and Signal Processing,'' in Statistical Methods in Control and Signal Processing, T. Katayama and S. Sugimoto, Editors. New York: Marcel Dekker, pp. 83-120.
  32. Larimore, W.E. (1997), ``System Identification of Feedback and `Causality' Structure using Canonical Variate Analysis,'' Preprints 11th IFAC Symposium on system Identification, held July 8-11, 1997, Fukuoka, Japan, Vol. 3, pp. 1101-6.
  33. Larimore, W.E. (1997), ``Optimal Reduced Rank Modeling, Prediction, Monitoring, and Control using Canonical Variate Analysis,'' Proc. IFAC 1997 Int. Symp. on Advanced Control of Chemical Processes, held June 9-11, 1997, Banff, Canada, pp. 61-6.
  34. Larimore, W.E. (1996), ``Statistical Optimality and Canonical Variate Analysis System Identification,'' Signal Processing, Vol. 52, pp. 131-144.
  35. Larimore, W.E. (1996), ``Optimal Order Selection and Efficiency of Canonical Variate Analysis System Identification,'' Proc. 13 IFAC World Congress, San Francisco, CA, June 30 - July 5, 1996, Vol I, pp151-6.
  36. Larimore, W.E. (1994), ``The Optimality of Canonical Variate Identification by Example,'' 10th IFAC Symposium on System Identification, Copenhagen, 4-6 July, Vol. 2, pp. 151-6.
  37. Larimore, W.E. (1993), ``Accuracy Confidence Bands Including the Bias of Model Under-fitting,'' Proc. 1993 American Control Conference, June 2-4, 1993, San Francisco, CA, Vol. 2, pp. 1995-9.
  38. Larimore, W.E. (1991), ``Identification and Filtering of Nonlinear Systems Using Canonical Variate Analysis,'' Nonlinear Modeling and Forecasting, Eds. M. Casdagli and S. Eubank, pp. 283-303. Reading, MA: Addison-Wesley.
  39. Larimore, W.E. (1990a), ``Order-Recursive Factorization of the Pseudoinverse of a Covariance Matrix'', IEEE Trans. of Automatic Control, Vol. 35, pp. 1299-1303.
  40. Larimore, W.E. (1990b), ``Simultaneous Confidence Bands for Efficient Parametric Multivariate Spectral Estimation,'' Submitted for publication.
  41. Larimore, W.E. and J. Baillieul (1990), ``Identification and Filtering of Nonlinear Systems Using Canonical Variate Analysis, '' 29th IEEE Conference on Decision and Control
  42. Larimore, W.E., Martin, D.P., and F. T. Luk (1989), ``A Transputer Implementation of System Identification and Control Using SVD's'', Proceedings of the SPIE, Vol. 1152, Advanced Algorithms and Architectures for Signal Processing IV.
  43. Larimore, W.E., and F.T. Luk (1988), ``System Identification and Control Using SVDs on Systolic Arrays,'' SPIE Symposium on Innovative Science and Technology, Proc. of Conference on High Speed Computing, Vol. 880, January, 1988.
  44. Larimore, W.E., and K.L. Cavanaugh (1986), ``A Canonical Variate Approach to the Analysis of Causality and Feedback in Multiple Time Series,'' Annual Meeting of the American Statistical Association, Chicago, IL, August 18-20, 1986.
  45. Larimore, W.E. (1986), ``Development of Statistical Methods Using Predictive Inference and Entropy,'' Final Report for Air Force Office of Scientific Research, Scientific Systems, Inc.
  46. Larimore, W.E. and R.K. Mehra (1985), ``The Problem of Overfitting Data,'' Byte, Vol. 10, pp. 167-80.
  47. Larimore, W.E., S. Mahmood and R.K. Mehra (1984), ``Multivariable Adaptive Model Algorithmic Control'', Proc. Conference on Decision and Control, Eds. A.H. Haddad and M. Polis, Vol. 2, pp. 675-80. New York: IEEE.
  48. Larimore, W.E. (1983a). ``Predictive Inference, Sufficiency, Entropy, and an Asymptotic Likelihood Principle'', Biometrika, Vol. 70, pp. 175-81.
  49. Larimore, W.E. (1983b). ``System Identification, Reduced-Order Filtering and Modeling Via Canonical Variate Analysis'', Proc. 1983 American Control Conference, H.S. Rao and T. Dorato, Eds., pp. 445-51. New York: IEEE.
  50. Lindquist, A., and M. Pavon (1981), ``Markovian Representation of Discrete-Time Stationary Stochastic Vector Processes,'' 20th IEEE Conference on Decision and Control, Vol. 3, pp. 1345-56.
  51. Lutkepohl, H. (1993), Introduction to Multiple Time Series Analysis, New York: Springer-Verlag.
  52. Martin, D. (1990), ``Canonical Variate Analysis of Large-Scale Systems on a Transputer Systolic Array, '' 29th IEEE Conference on Decision and Control
  53. Peloubet, R.P., R.L. Haller, R.M Bolding (1990), ``On-line Adaptive Control of Unstable Aircraft Wing Flutter, '' 29th IEEE Conference on Decision and Control
  54. Rao, C.R. (1965), ``The Use and Interpretation of Principal Component Analysis in Applied Research,'' Sankhya (A), Vol. 26, pp. 329-58
  55. Schaper, C.D., W.E. Larimore, D.E. Seborg, D.A. Mellichamp (1994), ``Identification of Chemical Processes using Canonical Variate Analysis, '' Computers \& Chemical Engineering, Vol. 18, pp. 55-69.
  56. Scheffe, H. (1959), The Analysis of Variance. New York: Wiley.
  57. Scheffe, H. (1953), ``A New Method for Judging All Contrasts in the Analysis of Variance,'' J. R. Statist. Soc. B, Vol. 15, pp. 125-139.
  58. Shibata, R. (1983). ``A Theoretical View of the Use of AIC,'' Proc of the International Time Series Meeting, O. D. Anderson, Ed.
  59. Shibata, R. (1981). ``An Optimal Autoregressive Spectral Estimate,'' Ann. Statistics, Vol. 9, pp. 300-6.
  60. Van Loan, C.F. (1976), ``Generalizing the Singular Value Decomposition,'' SIAM J. Numer. Anal., Vol. 13, pp. 76-83.
  61. Van Overbeek, A.J.M., and L. Ljung (1982), "On-line Structure Selection for Multivariable State-space Models," Automatica, Vol. 18, No. 5, pp. 529-543.
  62. Wang, Y., D.E. Seborg and Larimore (1997a), ``Process Monitoring based on Canonical Variate Analysis,'' Proc. IFAC 1997 Int. Symp. on Advanced Control of Chemical Processes, held June 9-11, 1997, Banff, Canada, pp. 523-8.
  63. Yaglom, A.M. (1970), ``Outline of Some Topics in Linear Extrapolation of Stationary Random Processes,'' Proc. Fifth Berkeley Symp. Math. Stat. and Prob., Berkeley, California, California Press, pp. 259-278

Return to Adaptics Home Page