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Kaul, U. K., "Efficient CFD-Based PID Control of Free Shear Layer Flow," 43rd AIAA Fluid Dynamics Conference and Exhibit, San Diego, CA, USA, June 2013.
Kaul, U.K., "First Principles Based PID Control of Mixing Layer: Role of Inflow Perturbation Spectrum," 7th AIAAA Flow Control Conference, Atlanta, GA, USA, June 2014.
Cordier, L. Noack, B. R., Tissot, G., Lehnasch, G., Delville, J. D. J., Balajewicz, M., Daviller, G. and Niven, R. K., "Identification strategies for model-based control," Experiments in Fluids, Vol. 54, 2013.
Pastoor, M., King, R., Noack, B. R. and Tadmor, G., "Observers and Feedback Control for Shear Layer Vortices," 44th IEEE Conference on Decision and Control and the European Control Conference, Seville, Spain, December 2005.
Pastoor, M., Henning, L., Noack, B. R., King, R. and Tadmor, G., "Feedback shear layer control for bluff body drag reduction," Journal of Fluid Mechanics, Vol. 608, 2008, pp. 161–196.
Pressburger, T., Hoelscher, B., Martin, R. A. and Sricharan, K., "Simple Sensitivity Analysis for Orion GNC," Proceedings of the AIAA Guidance, Navigation, and Control Conference, Boston, MA, USA, August 2013.
Bock, J. and Gough, D., "A New Method to Estimate Ligand-Receptor Energetics," Molecular and Cellular Proteomics, Vol. 1, No. 11, November 2002, p. 906.
Chu, E., Gorinevsky, D. and Boyd, S. P., "Detecting Aircraft Performance Anomalies from Cruise Flight Data," Proceedings of the AIAA Infotech@Aerospace Conference, Atlanta, Georgia, April 2010.
Smola, A. J. and Schölkopf, B., "A Tutorial on Support Vector Regression," Tech. rep., Statistics and Computing, 2003.
Cherkassky, V. and Ma, Y., "Practical selection of SVM parameters and noise estimation for SVM regression," Neural Networks, Vol. 17, January 2004, pp. 113–126.
CrossRef
Martin, R. and Das, S., "Near Real-Time Optimal Prediction of Adverse Events in Aviation Data," Proceedings of the AIAA Infotech@Aerospace Conference, Atlanta, Georgia, April 2010.
Weigend, A. and Gershenfeld, N., editors, Time series prediction: forecasting the future and understanding the past. SFI studies in the sciences of complexity, Addison-Wesley, 1993.
Krämer, O., "Dimensionality Reduction by Unsupervised K-Nearest Neighbor Regression," IEEE 10th International Conference on Machine Learning and Applications, Honolulu, HI, USA, December 2011.
Hastie, T., Tibshirani, R. and Friedman, J., "Regularization Paths for Generalized Linear Models via Coordinate Descent," Journal of Statistical Software, Vol. 33, No. 1, January 2010.
El Ghaoui, L., Viallon, V. and Rabbani, T., "Safe Feature Elimination in Sparse Supervised Learning," Tech report ucb/eecs-2010-126, EECS Department, University of California, Berkeley, September 2010.
Kaul, U. K., "Do large structures control their own growth in a mixing layer? An assessment," Journal of Fluid Mechanics, Vol. 190, 1988, pp. 427–450.
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Kaul, U. K., "On Some Aspects of Wave Interactions in Plane Mixing Layers," Wave Phenomena: Theoretical, Computational and Practical Aspects, edited by H. C. M. Lui Lam, Springer-Verlag, 1989.