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Journal Articles

17. J.A. Paulson  and A. Mesbah. Optimal Bayesian experiment design for nonlinear dynamic systems with chance constraints. Submitted to Journal of Process Control.

16. A. Mesbah, J.A. Paulson , and R. D. Braatz. An internal model control design method for multi-objective failure-tolerant control. Submitted to Journal of Process Control.

15. J.A. Paulson , L. C. Foguth, Y. Peng, A. Mesbah, and R. D. Braatz. Optimization methods for fast model predictive control. Submitted to Control Systems Magazine.

14. J.A. Paulson , T. L. M Santos, and A. Mesbah. Mixed stochastic-deterministic tube MPC for offset-free tracking in the presence of plant-model mismatch. Journal of Process Control, 2018 (in press).

13. T. A. N. Heirung, J.A. Paulson , S. Lee, and A. Mesbah. Model predictive control with active learning under model uncertainty: when, why, and how? AIChE Journal, 64:3071–3081, 2018.

12. D. Gidon, B. Curtis, J.A. Paulson , D. B. Graves, and A. Mesbah. Model-based feedback control of a kHz-excited atmospheric pressure plasma jet. IEEE Transactions on Radiation and Plasma Medical Sciences, 2:129–137, 2018.

11. T. A. N. Heirung, J.A. Paulson , J. O’Leary, and A. Mesbah. Stochastic model predictive control-how does it work? Computers & Chemical Engineering, 114:158–170, 2018.

10. J.A. Paulson  and A. Mesbah. An efficient method for stochastic optimal control with joint chance constraints for nonlinear systems. International Journal of Robust and Nonlinear Control, 2017.

9. A. Mesbah, J.A. Paulson , R. Lakerveld, and R. D. Braatz. Model predictive control of an integrated continuous pharmaceutical manufacturing pilot plant. Organic Process Research & Development, 21:844–854, 2017.

8. J.A. Paulson , M. Martin-Casas, and A. Mesbah. Input design for online fault diagnosis of nonlinear systems with stochastic uncertainty. Industrial & Engineering Chemistry Research, 56:9593–9605, 2017.

7. J.A. Paulson , E. A. Buehler, R. D. Braatz, and A. Mesbah. Stochastic model predictive control with joint chance constraints. International Journal of Control, 1–14, 2017.

6. D. O. Bellisario, J.A. Paulson , R. D. Braatz, and M. S. Strano. An analytic solution for exciton generation, reaction, and diffusion in nanotube and nanowire-based solar cells. The Journal of Physical Chemistry Letters, 7:2683–2688, 2016.

5. M. Wang and J.A. Paulson . An adaptive model predictive control strategy for nonlinear distributed parameter systems using the Type-2 Takagai-Sugeno model. International Journal of Fuzzy Systems, 18:792–805, 2015.

4. B. Jiang, X. Zhu, D. Huang, J.A. Paulson , and R. D. Braatz. A combined canonical variate analysis and fisher discriminant analysis (CVA–FDA) approach for fault diagnosis. Computers & Chemical Engineering, 77:1–9, 2015.

3. Y. Son, Q. H. Wang, J.A. Paulson , C. Shih, K. Tvrdy, B. AlFeeli, R. D. Braatz, M. S. Strano. Layer number dependence of MoS2 photoconductivity using photocurrent spectral atomic force microscope imaging. ACS Nano, 9:2843–2855, 2015.

2. J.A. Paulson , A. Mesbah, X. Zhu, M. Molaro, and R. D. Braatz. Control of self-assembly in micro- and nano-scale systems. Journal of Process Control, 27:38–49, 2015.

1. D. A. Slanac, A. Lie, J.A. Paulson , K. J. Stevenson, and K. P. Johnston. Bifunctional catalyst for alkaline ORR via promotion of ligand and ensemble effects at Ag/MnOx nanodomains. The Journal of Physical Chemistry C, 116:11032–11039, 2012

 

 

Peer Reviewed Proceedings Publications

21. J.A. Paulson  , T. A. N. Heirung, and A. Mesbah. Tube-based robust nonlinear model predictive control with guaranteed fault tolerance. Submitted to Proc. of ACC.

20. J.A. Paulson   and A. Mesbah. Arbitrary polynomial chaos for quantification of general probabilistic uncertainties: Shaping closed-loop behavior of nonlinear systems. In Proc. of the IEEE Conference on Decision and Control, 2018 (accepted).

19. J.A. Paulson   and A. Mesbah. Nonlinear model predictive control with explicit backoffs for stochastic systems under arbitrary uncertainty. In Proc. of the IFAC Conference on Nonlinear Model Predictive Control, pages 622–633, Madison, WI, August 2018.

18. T. L. M. Santos, J.A. Paulson  , and A. Mesbah. Offset-free stochastic model predictive control with enlarged feasibility region. In Proc. of the American Control Conference, pages 742–748, Milwaukee, WI June 2018.

17. J.A. Paulson  , T. A. N. Heirung, R. D. Braatz, and A. Mesbah. Closed-loop active fault diagnosis for stochastic linear systems. In Proc. of the American Control Conference, pages 735–741, Milwaukee, WI June 2018.

16. J.A. Paulson  , E. Buehler, and A. Mesbah. Arbitrary polynomial chaos for uncertainty propagation of correlated random variables in dynamic systems. In Proc. of the IFAC World Congress, pages 3607–3612, Toulouse, France, July 2017.

15. J.A. Paulson  , L. Xie, and A. Mesbah. Offset-free robust MPC of systems with mixed stochastic and deterministic uncertainty. In Proc. of the IFAC World Congress, pages 3589–3594, Toulouse, France, July 2017.

14. S. Lucia, J.A. Paulson  , R. Findeisen, and R. D. Braatz. On stability of stochastic linear systems via polynomial chaos expansions. In Proc. of the American Control Conference, pages 5089–5094, Seattle, WA, May 2017.

13. E. Harinath, L. C. Foguth, J.A. Paulson  , and R. D. Braatz. Nonlinear model predictive control using polynomial optimization methods. In Proc. of the American Control Conference, pages 1–6, Boston, MA, July 2016.

12. E. Buehler, J.A. Paulson  , and A. Mesbah. Lyapunov-based stochastic nonlinear model predictive control: Shaping the state probability density functions. In Proc. of the American Control Conference, pages 5389–5394, Boston, MA, July 2016.

11. A. E. Lu, J.A. Paulson  , and R. D. Braatz. pH and conductivity control in an integrated biomanufacturing plant. In Proc. of the American Control Conference, pages 1741–1746, Boston, MA, July 2016.

10. T. Muehlpfordt, J.A. Paulson  , R. Findeisen, and R. D. Braatz. Output feedback model predictive control with probabilistic uncertainties for linear systems. In Proc. of the American Control Conference, pages 2035–2040, Boston, MA, July 2016.

9. J.A. Paulson  , M. C. Molaro, D. O. Bellisario, M. S. Strano, and R. D. Braatz. Mathematical modeling and analysis of carbon nanotube photovoltaic systems. In Proc. of the 11th IFAC Symposium on Dynamics and Control Process Systems, pages 442–447, Trondheim, Norway, June 2016.

8. J.A. Paulson  , E. Harinath, L. C. Foguth, and R. D. Braatz. Nonlinear model predictive control of systems with probabilistic time-invariant uncertainties. In Proc. of the 5th IFAC Conference on Nonlinear Model Predictive Control, pages 16–25, Seville, Spain, September 2015.

7. A. E. Lu, J.A. Paulson   (co-first author), N. J. Mozdzierz, A. Stockdale, A. N. Ford Versypt, K. R. Love, J. C. Love, and R. D. Braatz. Control systems technology in the advanced manufacturing of biologic drugs. In Proc. of the 2015 IEEE Conference on Control Applications, pages 1505–1515, Sydney, Australia, September 2015.

6. L. C. Foguth, J.A. Paulson  , R. D. Braatz, and D. M. Raimondo. Fast robust model predictive control of high-dimensional systems. In Proc. of the European Control Conference, pages 2009–2014, Linz, Austria, July 2015.

5. M. Torchio, N. A. Wolff, D. M. Raimondo, L. Magni, U. Krewer, B. Gopaluni, J.A. Paulson  , and R. D. Braatz. Real-time model predictive control for the optimal charging of a Lithium-ion battery. In Proc. of the American Control Conference, pages 4536–4541, Chicago, IL, July 2015.

4. A. Mesbah, J.A. Paulson  , R. Lakerveld, and R. D. Braatz. Plant-wide model predictive control for a continuous pharmaceutical process. In Proc. of the American Control Conference, pages 4301–4307, Chicago, IL, July 2015.

3. J.A. Paulson  , S. Streif, and A. Mesbah. Stability for receding-horizon stochastic model predictive control with chance constraints. In Proc. of the American Control Conference, pages 937–943 Chicago, IL, July 2015.

2. J.A. Paulson  , A. Mesbah, S. Streif, R. Findeisen, and R. D. Braatz. Fast stochastic model predictive control of high-dimensional systems. In Proc. of the 53rd IEEE Conference on Decision and Control, pages 2802–2809, Los Angeles, CA, December 2014.

1. J.A. Paulson  , D. M. Raimondo, R. Findeisen, R. D. Braatz, and S. Streif. Guaranteed active fault diagnosis for uncertain nonlinear systems. In Proc. of the European Control Conference, pages 926–931, Strasbourg, France, June 2014.