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, ftp.adaptics.com

- 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.
- Akaike, H. (1975), ``Markovian Representation of Stochastic Processes by Canonical Variables,'' SIAM J. Control., Vol. 13, pp. 162-173
- Akaike, H. (1974), ``Stochastic Theory of Minimal Realization,'' IEEE Trans. Automatic Control, Vol. 19, pp. 667-674.
- 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.
- Anderson, T.W. (1958), An Introduction to Multivariate Statistical Analysis, New York: Wiley.
- Bjorck, A., and Golub, G.H. (1973), ``Numerical Methods for Computing Angles Between Subspaces,'' Numer. Math., Vol. 27, pp. 579-94.
- 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.
- Candy, J.V., Bullock, T.E., and Warren, M.E. (1979), ``Invariant Description of the Stochastic Realization,'' Automatica, Vol. 15, pp. 493-5.
- Carroll, J.V. (1990), ``A Method of Robust Identification and Control of Flexible Space Structures, '' 29th IEEE Conference on Decision and Control
- Carroll, J.V., and W.E. Larimore (1986), ``Identification and Control of Battle Damaged Aircraft,'' presented at NAECON Conference, Dayton, Ohio.
- Ewerbring, L.M., R.T. Luk (1990), ``Parallel Algorithms for Canonical Variates Computation, '' 29th IEEE Conference on Decision and Control
- 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).
- 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.
- 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.
- Hannan, E.J., and M. Deistler (1988), The Statistical Theory of Linear Systems, New York: John Wiley & Sons.
- Hotelling, H. (1936). ``Relations Between Two Sets of Variates'', Biometrika, Vol. 28, pp. 321-377.
- 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.
- 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.
- Hurvich, C.M. and C.L. Tsai (1989), ``Regression and Time Series Model Selection in Small Samples,'' Biometrika Vol. 76, pp. 297-307.
- 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.
- 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.
- Kailath, T. (1974), ``A View of Three Decades of Linear Filter Theory,'' IEEE Trans. Info. Theory, Vol. 20, pp. 146-181.
- 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
- 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.
- Khatri, C.G. (1976), ``A Note on Multiple and Canonical Correlation for a Singular Covariance Matrix,'' Psychometrika, Vol. 41, pp. 465-70.
- 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
- Kullback, S. (1959). Information Theory and Statistics, Dover.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Larimore, W.E. (1996), ``Statistical Optimality and Canonical Variate Analysis System Identification,'' Signal Processing, Vol. 52, pp. 131-144.
- 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.
- 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.
- 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.
- 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.
- Larimore, W.E. (1990a), ``Order-Recursive Factorization of the Pseudoinverse of a Covariance Matrix'', IEEE Trans. of Automatic Control, Vol. 35, pp. 1299-1303.
- Larimore, W.E. (1990b), ``Simultaneous Confidence Bands for Efficient Parametric Multivariate Spectral Estimation,'' Submitted for publication.
- Larimore, W.E. and J. Baillieul (1990), ``Identification and Filtering of Nonlinear Systems Using Canonical Variate Analysis, '' 29th IEEE Conference on Decision and Control
- 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.
- 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.
- 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.
- 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.
- Larimore, W.E. and R.K. Mehra (1985), ``The Problem of Overfitting Data,'' Byte, Vol. 10, pp. 167-80.
- 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.
- Larimore, W.E. (1983a). ``Predictive Inference, Sufficiency, Entropy, and an Asymptotic Likelihood Principle'', Biometrika, Vol. 70, pp. 175-81.
- 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.
- 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.
- Lutkepohl, H. (1993), Introduction to Multiple Time Series Analysis, New York: Springer-Verlag.
- Martin, D. (1990), ``Canonical Variate Analysis of Large-Scale Systems on a Transputer Systolic Array, '' 29th IEEE Conference on Decision and Control
- 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
- Rao, C.R. (1965), ``The Use and Interpretation of Principal Component Analysis in Applied Research,'' Sankhya (A), Vol. 26, pp. 329-58
- 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.
- Scheffe, H. (1959), The Analysis of Variance. New York: Wiley.
- 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.
- Shibata, R. (1983). ``A Theoretical View of the Use of AIC,'' Proc of the International Time Series Meeting, O. D. Anderson, Ed.
- Shibata, R. (1981). ``An Optimal Autoregressive Spectral Estimate,'' Ann. Statistics, Vol. 9, pp. 300-6.
- Van Loan, C.F. (1976), ``Generalizing the Singular Value Decomposition,'' SIAM J. Numer. Anal., Vol. 13, pp. 76-83.
- 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.
- 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.
- 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

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