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Journal Papers

  1. Pourkargar D.B., Armaou A., Lyapunov-based on-line model reduction and control of semilinear dissipative distributed parameter systems with minimum feedback information, Journal of Process Control, 2021; 104: 135-145 Link

  2. Pourkargar D.B., Moharir, M., Almansoori A., Daoutidis P., Distributed estimation and nonlinear model predictive control using community detection, Industrial and Engineering Chemistry Research, 2019; 58(30): 13495-13507 (Invited paper) Link

  3. Daoutidis P., Allman A., Khatib S., Moharir, M., Palys M.J., Pourkargar D.B., Tang W., Distributed decision making for intensified process systems, Current Opinion in Chemical Engineering, 2019; 25: 75-81 Link

  4. Moharir, M., Pourkargar D.B., Almansoori A., Daoutidis P., Graph representation for distributed control of diffusion-convection-reaction system networks, Chemical Engineering Science, 2019; 204: 128-139 Link

  5. Pourkargar D.B., Almansoori A., Daoutidis P., Comprehensive study of decomposition effects on output tracking of an integrated process over a wide operating range, Chemical Engineering Research and Design, Special Issue on Dynamics and Control, 2018; 134:553-563 (Invited paper) Link

  6. Moharir, M., Pourkargar D.B., Almansoori A., Daoutidis P., Distributed model predictive control of an amine gas sweetening plant, Industrial and Engineering Chemistry Research, 2018; 57:13103-13115 Link

  7. Tang W., Pourkargar D.B., Daoutidis P., Relative time-averaged gain array (RTAGA) for distributed control-oriented network decomposition, AIChE Journal, 2018; 64(5):1682-1690 Link

  8. Feng J., Lansford J., Mironenko A., Pourkargar D.B., Vlachos D.G., Katsoulakis M.A., Non-parametric correlative uncertainty quantification and sensitivity analysis: Application to a Langmuir biomolecular adsorption model, AIP Advances, 2018; 8:035021 Link

  9. Tang W., Allman A., Pourkargar D.B., Daoutidis P., Optimal decomposition for distributed optimization in nonlinear model predictive control through community detection, Computers and Chemical Engineering, 2018; 111:43-54 Link

  10. Pourkargar D.B., Almansoori A., Daoutidis P., The impact of decomposition on distributed model predictive control: A process network case study, Industrial and Engineering Chemistry Research, 2017; 56(34):9606-9616 Link

  11. Pourkargar D.B., Shahri S.M.K., Rioux R.M., Armaou A., Spatiotemporal modeling and parametric estimation of isothermal CO2 adsorption columns, Industrial and Engineering Chemistry Research, 2016; 55(22):6443-6453 Link

  12. Pourkargar D.B., Armaou A., Dynamic shaping of transport-reaction processes with a combined sliding mode controller and Luenberger-type dynamic observer design, Chemical Engineering Science, 2015; 138:673-684 Link

  13. Pourkargar D.B., Armaou A., Design of APOD-based switching dynamic observers and output feedback control for a class of nonlinear distributed parameter systems, Chemical Engineering Science, Special Issue on Control and Optimization of Smart Plant Operations, 2015; 136:62-75 (Invited paper) Link

  14. Pourkargar D.B., Armaou A., Control of spatially distributed processes with unknown transport-reaction parameters via two-layer system adaptations, AIChE Journal, 2015; 61(8):2497-2507 Link

  15. Pourkargar D.B., Armaou A., APOD-based control of general linear distributed parameter systems in the presence of network communication constraints, AIChE Journal, 2015; 61(2):434-447 Link

  16. Pourkargar D.B., Armaou A., Geometric output tracking of nonlinear distributed parameter systems via adaptive model reduction, Chemical Engineering Science, 2014; 116:418-427 Link

  17. Pourkargar D.B., Armaou A., Modification to adaptive model reduction for regulation of distributed parameter systems with fast transients, AIChE Journal, 2013; 59(12):4595-4611 (Finalist for the Best Paper Award, Department of Chemical Engineering, The Pennsylvania State University, 2014) Link

  18. Pourkargar D.B., Shahrokhi M., Optimal fuzzy synchronization of generalized Lorenz chaotic systems, The Journal of Mathematics and Computer Science, 2011; 2(1):27-36 (Invited paper) Link

Conference Proceedings Papers

  1. Pourkargar D.B., Jogwar S.S., Distributed model predictive control of integrated process networks: Optimal decomposition for varying operating point, In Proceedings of the American Control Conference (ACC), 801-807, New Orleans, LA, 2021 Link

  2. Pourkargar D.B., Armaou A., Control of semilinear dissipative distributed parameter systems with minimum feedback information, In Proceedings of the American Control Conference (ACC), 2685-2691, Denver, CO, 2020 Link

  3. Moharir M., Pourkargar D.B., Almansoori A., Daoutidis P., Decomposition and distributed control of integrated lumped and distributed parameter process networks, In Proceedings of the IEEE Conference on Decision and Control (CDC), 2908-2913, Miami Beach, FL, 2018 (Invited paper) Link

  4. Pourkargar D.B., Almansoori A., Daoutidis, P., Distributed model predictive control of process networks: Impact of control architecture, In Proceedings of the 20th World Congress of the International Federation of Automatic Control (IFAC), 12452-12457, Toulouse, France, 2017 Link

  5. Pourkargar D.B., Armaou A., Spatiotemporal response shaping of transport-reaction processes via adaptive reduced order models, In Proceedings of the American Control Conference (ACC), 4157-4162, Boston, MA, 2016 Link

  6. Pourkargar D.B., Armaou A., Adaptive control of chemical distributed parameter systems, In Proceedings of the IFAC International Symposium on Advanced Control of Chemical Processes (ADCHEM), 682-687, Whistler, Canada, 2015 Link

  7. Pourkargar D.B., Armaou A., Low-dimensional adaptive output feedback controller design for transport-reaction processes, In Proceedings of the European Control Conference (ECC), 879-884, Linz, Austria, 2015 Link

  8. Pourkargar D.B., Armaou A., Wave motion suppression in the presence of unknown parameters using recursively updated empirical basis functions, In Proceedings of the American Control Conference (ACC), 2619-2624, Chicago, IL, 2015 Link

  9. Pourkargar D.B., Armaou A., Output tracking of spatiotemporal thermal dynamics in transport-reaction processes via adaptive model reduction, In Proceedings of the American Control Conference (ACC), 3364-3370, Portland, OR, 2014 Link

  10. Pourkargar D.B., Armaou A., Feedback control of linear distributed parameter systems via adaptive model reduction in the presence of device network communication constraints, In Proceedings of the American Control Conference (ACC), 1667-1673, Portland, OR, 2014 (Invited paper) Link

  11. Pourkargar D.B., Armaou A., A refined adaptive model reduction approach for control of fast evolving distributed parameter systems, In Proceedings of the 21st International Symposium on Mathematical Theory of Networks and Systems (MTNS), 140-147, Groningen, Netherlands, 2014 (invited paper) Link

  12. Pourkargar D.B., Armaou A., Control of dissipative partial differential equation systems using APOD based dynamic observer designs, In Proceedings of the American Control Conference (ACC), 502-508, Washington DC, 2013 (Invited paper, O. Hugo Schuck Best Paper Award in the Application Category, American Automatic Control Council (AACC), 2014) Link

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