Publications in Peer-reviewed Journals and Symposia Proceedings

1. Ungarala S., K. Miriyala and T. B. Co, On the estimation of time-varying parameters in continuous-time nonlinear systems, Proceedings of the 10th IFAC Symposium on Dynamics and Control of Process Systems (DYCOPS-2013), IFAC, pp. 565-570, Mumbai, India, (2013).

2. Ungarala S., On the iterated forms of Kalman filters using statistical linearization, Journal of Process Control, 22, 935-943, (2012c).

3. Ungarala S., Sequential Monte Carlo filtering using nested particles with local Gaussian assumptions, Proceedings of the International Symposium on Advanced Control of Chemical Processes (ADCHEM-2012), IFAC, pp. 349-354, Singapore, (2012b).

4. Ungarala S., Fixed interval smoothing of nonlinear/non-Gaussian dynamic systems in cell space, Proceedings of the International Symposium on Advanced Control of Chemical Processes (ADCHEM-2012), IFAC, pp. 298-303, Singapore, (2012a).

5. Ungarala S., A direct sampling particle filter from approximate conditional density function supported on constrained state space, Computers and Chemical Engineering, 35, 1110-1118, (2011).

6. Ungarala S., and K. Li, On the use of a cell filter for fast state estimation in closed-loop nonlinear model predictive control, Journal of Process Control, 19, 550-556, (2009).

7. Ungarala S., Computing arrival cost parameters in moving horizon estimation using sampling based methods, Journal of Process Control, 19, 1576-1588, (2009d).

8. Ungarala S., The use of ensemble statistics in constrained maximum a posteriori estimation, Proceedings of the 15th IFAC Symposium on System Identification (SYSID-2009), IFAC, pp. 786-791, St. Malo, France, (2009c).

9. Ungarala S., Comments on ¿Robust and reliable estimation via unscented recursive nonlinear dynamic data reconciliation¿, Journal of Process Control, 19, 717-718, (2009b).

10. Ungarala S., Comments on ¿Recursive estimation in constrained nonlinear dynamical systems¿, American Institute of Chemical Engineers Journal, 55, 1079, (2009a).

11. Ungarala S., K. Li and Z. Chen, Constrained Bayesian state estimation using a cell filter, Industrial and Engineering Chemistry Research, 47, 7312-7322, (2008).

12. Lang L., W. S. Chen, B. R. Bakshi, P. K. Goel and S. Ungarala, Bayesian estimation via sequential Monte Carlo sampling - constrained dynamic systems, Automatica, 43, 1615-1622, (2007).

13. Botchu S. K., and S. Ungarala, Nonlinear model predictive control based on sequential Monte Carlo state estimation, Proceedings of the 8th IFAC Symposium on Dynamics and Control of Process Systems (DYCOPS-8), IFAC, Vol 3, 31-36, Cancun, Mexico, (2007).

14. Ungarala S., E. Dolence and K. Li, Constrained extended Kalman filter for nonlinear state estimation, Proceedings of the 8th IFAC Symposium on Dynamics and Control of Process Systems (DYCOPS-8), IFAC, Vol 2, 63-68, Cancun, Mexico, (2007).

15. Ungarala S., Z. Chen and K. Li, Bayesian state estimation of nonlinear systems using approximate aggregate Markov chains, Industrial and Engineering Chemistry Research, 45, 4208-4221, (2006).

16. Gatica J. E., M. Colombo, M. R. Hernandez and S. Ungarala, Interactive teaching applications using client-server Matlab environments, Proceedings of the 4th Mercosur Congress on Process Systems Engineering (ENPROMER-2005), Rio de Janeiro, Brazil, (2006).

17. Ungarala S., Z. Z. Chen and K. Li, Nonlinear optimal control using dynamic programming in cell space ¿ Application to nonlinear CSTR, Proceedings of the 7th IFAC Symposium on Dynamics and Control of Process Systems (DYCOPS-7), IFAC, (2004).

18. Chen W. -S., B. R. Bakshi, P. Goel and S. Ungarala, Bayesian estimation by sequential Monte Carlo sampling: Application to high dimensional nonlinear dynamic systems, The 7th IFAC Symposium on Dynamics and Control of Process Systems (DYCOPS-7), IFAC, (2004).

19. Ungarala S. and Z. Z. Chen, Bayesian cell filter for constrained non-Gaussian estimation, Proceedings of the American Control Conference (ACC2004), AACC, pp. 216-221, (2004).

20. Chen W. -S., B. R. Bakshi, P. Goel and S. Ungarala, Bayesian estimation via sequential Monte Carlo sampling: unconstrained nonlinear dynamic systems, Industrial and Engineering Chemistry Research, 43, 4012-4025, (2004).

21. Chen W. -S., B. R. Bakshi, P. Goel and S. Ungarala, Bayesian estimation of unconstrained nonlinear dynamic systems, Proceedings of the International Symposium on Advanced Control of Chemical Processes (ADCHEM2003), IFAC, pp. 278-283, (2003).

22. Ungarala S. and Z. Z. Chen, Bayesian data rectification of nonlinear systems with Markov chains in cell space, Proceedings of the American Control Conference (ACC2003), AACC, pp. 4857-4862, (2003).

23. Ungarala S., Z.-Z. Chen and T. B. Co, The theory of process integrity and global analysis for process monitoring and diagnosis, Proceedings of the 4th IFAC Workshop on On-Line Fault Detection and Supervision in the Chemical Process Industries (CHEMFAS-4), G. Stephanopoulos, J. Romagnoli and E. S. Yoon, eds., Elsevier, pp. 213-218, (2001).

24. Ungarala S. and B. R. Bakshi, Bayesian inference with constraints - A unified approach for data rectification of linear dynamic systems, Proceedings of the 6th IFAC Symposium on Dynamics and Control of Process Systems (DYCOPS-6), G. Stephanopoulos, J. Lee and E. S. Yoon, eds., Elsevier, pp. 405-410, (2001).

25. Ungarala S. and T. B. Co, Time-varying system identification using modulating functions and spline models with application to bioprocesses, Computers and Chemical Engineering, 24, 2739-2753, (2000).

26. Ungarala S. and B. R. Bakshi, A multiscale, Bayesian and error-in-variables approach for linear dynamic data rectification, Computers and Chemical Engineering, 24, 445-451, (2000).

27. Ungarala S. and T. B. Co, Model parameter tracking in microbial growth processes, American Institute of Chemical Engineers Journal, 44, 2129, (1998).

28. Co T. B. and S. Ungarala, Batch scheme recursive identification of continuous-time systems using modulating functions method, Automatica, 33, 1185, (1997).

29. Co T. B. and S. Ungarala, Recursive implementation of modulating functions methods, Identification in Engineering Systems, M. I. Friswell and J. E. Mottershead, eds., Cromwell Press, Wiltshire, UK, pp. 604-613, (1996).

Peer-reviewed Conference Presentations

1. Ungarala S., Effective importance sampling in sequential Monte Carlo moving horizon estimation for nonlinear dynamic systems, Annual Meeting of the American Institute of Chemical Engineers, Atlanta, GA, (Accepted: Nov. 2014).

2. Ungarala S., On the utility of the iterated Kalman filter for constrained importance sampling in sequential Monte Carlo state estimation, Annual Meeting of the American Institute of Chemical Engineers, San Francisco, CA, (Nov. 2013).

3. Ungarala S., Sequential Monte Carlo moving horizon estimation, Annual Meeting of the American Institute of Chemical Engineers, Pittsburgh, PA, (Oct. 2012).

4. Ungarala S., Fast kernel density estimation using orthogonal polynomials and Goertzel DFT, Annual Meeting of the American Institute of Chemical Engineers, Pittsburgh, PA, (Oct. 2012).

5. Ungarala S., Nonlinear state estimation using parent and nested particles in sequential Monte Carlo, Annual Meeting of the American Institute of Chemical Engineers, Minneapolis, MN, (Oct. 2011).

6. Ribeiro M. P. de A., R. de C. Giordono and S. Ungarala, Online state estimation in enzymatic synthesis of ampicilin process: experimental and simulation study, Annual Meeting of the American Institute of Chemical Engineers, Philadelphia, PA, (Nov. 2008).

7. Dolence E., K. Li and S. Ungarala, State estimation in constrained nonlinear systems ¿ the constrained Kalman filter, Annual Meeting of the American Institute of Chemical Engineers, San Francisco, CA, (Nov. 2006).

8. Ungarala S., and K. Li, Cell and Iterated Dynamic Programming - a Fast Optimizer for Nonlinear Model Predictive Control, Annual Meeting of the American Institute of Chemical Engineers, San Francisco, CA, (Nov. 2006).

9. Ungarala S., and K. Li, Novel density based state estimation methods in nonlinear model predictive control, Annual Meeting of the American Institute of Chemical Engineers, Cincinnati, OH, (Nov. 2005).

10. Chen Z., S. Ungarala and Z. Gao, Active disturbance rejection control (ADRC) - Application to nonlinear CSTR, Annual Meeting of the American Institute of Chemical Engineers, Cincinnati, OH, (Nov. 2005).

11. Ungarala S., and K. Li, Optimal control using cell-to-cell mapping and dynamic programming, Annual Meeting of the American Institute of Chemical Engineers, Austin, TX, (Nov. 2004).

12. Chen Z., K. Li and S. Ungarala, Bayesian estimation in constrained nonlinear/non-Gaussian systems, Annual Meeting of the American Institute of Chemical Engineers, San Francisco, CA, (Nov. 2003).

13. Ungarala S. and K. Li, Multiscale probabilistic modeling of nonlinear dynamic systems, Annual Meeting of the American Institute of Chemical Engineers, San Francisco, CA, (Nov. 2003).

14. Chen W. -S., B. R. Bakshi, P. Goel and S. Ungarala, Bayesian estimation by sequential Monte Carlo sampling: Application to large-scale nonlinear dynamic systems, Annual Meeting of the American Institute of Chemical Engineers, San Francisco, CA, (Nov. 2003).

15. Chen W. -S., B. R. Bakshi, P. Goel and S. Ungarala, Bayesian estimation of nonlinear dynamic systems, The Gordon Research Conference on Statistics in Chemistry and Chemical Engineering, Mount Holyoke College, South Hadley, MA, (Jul. 2003).

16. Ungarala S. and Z. Chen, Dynamic data rectification with Markov chains and Monte Carlo Bayesian inference, Annual Meeting of the American Institute of Chemical Engineers, Indianapolis, IN, (Nov. 2002).

17. Chen W. -S., B. R. Bakshi, P. Goel and S. Ungarala, Bayesian estimation of nonlinear dynamic systems - Dealing with constraints and non-Gaussian Errors, Annual Meeting of the American Institute of Chemical Engineers, Indianapolis, IN, (Nov. 2002).

18. Bartels M, Z. Chen, S. Ungarala, J. E. Gatica, M. N. Pedernera and N. S. Schbib, Control and stability analysis of autothermal radial flow reactors using reduced-order models, Annual Meeting of the American Institute of Chemical Engineers, Indianapolis, IN, (Nov. 2002).

19. Chen W. -S., S. Ungarala and B. R. Bakshi, Bayesian rectification of nonlinear dynamic processes by the weighted bootstrap, Annual Meeting of the American Institute of Chemical Engineers, Reno, NV, (Nov. 2001).

20. Ungarala S. and Z. Chen, Global analysis of controlled processes using cell-to-cell mapping, Annual Meeting of the American Institute of Chemical Engineers, Reno, NV, (Nov. 2001).

21. Ungarala S. and T. B. Co, Nonlinear system identification via orthogonal functions and FFT based modulation, Annual Meeting of the American Institute of Chemical Engineers, Los Angeles, CA, (Nov. 2000).

22. Ungarala S. and Z.-Z. Chen, Analysis of nonlinear CSTR dynamics using cell mapping in state-cell space, Annual Meeting of the American Institute of Chemical Engineers, Los Angeles, CA, (Nov. 2000).

23. Ungarala S. and B. R. Bakshi, Data rectification of nonlinear systems using Bayesian inference and multiresolution analysis, Annual Meeting of the American Institute of Chemical Engineers, Los Angeles, CA, (Nov. 2000).

24. Ungarala S. and B. R. Bakshi, A multiscale, Bayesian and error-in-variables approach for linear dynamic data rectification, The 7th International Symposium on Process Systems Engineering (PSE-2000), Keystone, CO (Jul. 2000).

25. Ungarala S. W. -S. Chen and B. R. Bakshi, Multiscale Bayesian EIV data rectification of linear and nonlinear dynamic systems, Annual Meeting of the American Institute of Chemical Engineers, Dallas, TX (Nov. 1999).

26. Ungarala S. and T. B. Co, Direct estimation of microbial specific growth rates, Annual Meeting of the American Institute of Chemical Engineers, Miami, FL (Nov. 1998).

27. Ungarala S. and T. B. Co, Modeling and control for process integrity, Annual Meeting of the American Institute of Chemical Engineers, Los Angeles, CA (Nov. 1997).

28. Ungarala S. and T. B. Co, Recursive parameter estimation of time-varying nonlinear systems, Annual Meeting of the American Institute of Chemical Engineers, Chicago, IL (Nov. 1996).

Book Chapters

Ungarala S. and B. R. Bakshi, Multiscale Bayesian Estimation and Data Rectification, Wavelets in Signal and Image Analysis: From Theory to Practice, A. Petrosian and F. Meyer, eds., Kluwer Academic Publishers, New York, pp. 69-110, (2001).