Pascal Dufour - Publications

Affiliations: 
University of California, Santa Barbara, Santa Barbara, CA, United States 

26 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2018 Galuppo F, Dufour P, Nadri M, Reiche T, Lemort V. Experiment Design for Waste Heat Recovery Modeling in Heavy Duty Trucks Ifac-Papersonline. 51: 726-731. DOI: 10.1016/J.Ifacol.2018.10.165  0.305
2017 Afri C, Andrieu V, Bako L, Dufour P. State and Parameter Estimation: A Nonlinear Luenberger Observer Approach Ieee Transactions On Automatic Control. 62: 973-980. DOI: 10.1109/Tac.2016.2566804  0.304
2016 Peralez J, Nadri M, Dufour P, Tona P, Sciarretta A. Organic Rankine Cycle for Vehicles: Control Design and Experimental Results Ieee Transactions On Control Systems Technology. DOI: 10.1109/Tcst.2016.2574760  0.343
2016 Qian J, Nadri M, Dufour P. Optimal input design for parameter estimation of nonlinear systems: case study of an unstable delta wing International Journal of Control. 1-15. DOI: 10.1080/00207179.2016.1225990  0.332
2016 Dufour P, Nadri M, Qian J. An explicit optimal input design for first order systems identification Ifac-Papersonline. 48: 344-349. DOI: 10.1016/J.Ifacol.2015.12.151  0.373
2015 Peralez J, Tona P, Nadri M, Dufour P, Sciarretta A. Optimal control for an organic rankine cycle on board a diesel-electric railcar Journal of Process Control. 33: 1-13. DOI: 10.1016/J.Jprocont.2015.03.009  0.336
2015 Grelet V, Dufour P, Nadri M, Reiche T, Lemort V. Modeling and control of Rankine based waste heat recovery systems for heavy duty trucks Ifac Proceedings Volumes (Ifac-Papersonline). 48: 568-573. DOI: 10.1016/J.Ifacol.2015.09.028  0.345
2014 Peralez J, Tona P, Sciarretta A, Dufour P, Nadri M. Optimal Control of a Vehicular Organic Rankine Cycle via Dynamic Programming with Adaptive Discretization Grid Ifac Proceedings Volumes. 47: 5671-5678. DOI: 10.3182/20140824-6-Za-1003.02185  0.32
2013 Qian J, Dufour P, Nadri M. Observer and model predictive control for on-line parameter identification in nonlinear systems Ifac Proceedings Volumes (Ifac-Papersonline). 10: 571-576. DOI: 10.3182/20131218-3-In-2045.00042  0.344
2012 da Silva B, Dufour P, Sheibat-Othman N, Othman S. Inferential MIMO predictive control of the particle size distribution in emulsion polymerization Computers and Chemical Engineering. 38: 115-125. DOI: 10.1016/J.Compchemeng.2011.11.003  0.328
2010 Daraoui N, Dufour P, Hammouri H, Hottot A. Model predictive control during the primary drying stage of lyophilisation Control Engineering Practice. 18: 483-494. DOI: 10.1016/J.Conengprac.2010.01.005  0.345
2010 Bombard I, Da Silva B, Dufour P, Laurent P. Experimental predictive control of the infrared cure of a powder coating: A non-linear distributed parameter model based approach Chemical Engineering Science. 65: 962-975. DOI: 10.1016/J.Ces.2009.09.050  0.375
2009 De Temmerman J, Dufour P, Nicolaï B, Ramon H. MPC as control strategy for pasta drying processes Computers and Chemical Engineering. 33: 50-57. DOI: 10.1016/J.Compchemeng.2008.06.004  0.341
2008 Flila S, Dufour P, Hammouri H. Optimal input design for online identification: a coupled observer-MPC approach Ifac Proceedings Volumes. 41: 11457-11462. DOI: 10.3182/20080706-5-Kr-1001.01941  0.374
2008 Silva Bd, Dufour P, Sheibat-Othman N, Othman S. Model Predictive Control of Free Surfactant Concentration in Emulsion Polymerization Ifac Proceedings Volumes. 41: 8375-8380. DOI: 10.3182/20080706-5-Kr-1001.01416  0.343
2008 Silva Bd, Dufour P, Othman N, Othman S. MPC@CB software: A solution for model predictive control Computer Aided Chemical Engineering. 25: 659-664. DOI: 10.1016/S1570-7946(08)80115-0  0.354
2008 Daraoui N, Dufour P, Hammouri H, Hottot A. Optimal operation of sublimation time of the freeze drying process by predictive control: Application of the MPC@CB software Computer Aided Chemical Engineering. 25: 453-458. DOI: 10.1016/S1570-7946(08)80080-6  0.372
2005 Dufour P, Bhartiya S, Dhurjati PS, Doyle FJ. Neural network-based software sensor: Training set design and application to a continuous pulp digester Control Engineering Practice. 13: 135-143. DOI: 10.1016/J.Conengprac.2004.02.013  0.439
2005 Edouard D, Dufour P, Hammouri H. Observer based multivariable control of a catalytic reverse flow reactor: Comparison between LQR and MPC approaches Computers and Chemical Engineering. 29: 851-865. DOI: 10.1016/J.Compchemeng.2004.09.018  0.37
2004 Dufour P, Blanc D, Touré Y, Laurent P. Infrared Drying Process of an Experimental Water Painting: Model Predictive Control Drying Technology. 22: 269-284. DOI: 10.1081/Drt-120028233  0.356
2004 Dufour P, Touré Y. Multivariable model predictive control of a catalytic reverse flow reactor Computers & Chemical Engineering. 28: 2259-2270. DOI: 10.1016/J.Compchemeng.2004.04.006  0.377
2004 Dufour P, Michaud DJ, Touré Y, Dhurjati PS. A partial differential equation model predictive control strategy: Application to autoclave composite processing Computers and Chemical Engineering. 28: 545-556. DOI: 10.1016/J.Compchemeng.2003.08.007  0.346
2003 Dufour P, Couenne F, Toure Y. Model predictive control of a catalytic reverse flow reactor Ieee Transactions On Control Systems and Technology. 11: 705-714. DOI: 10.1109/Tcst.2003.816408  0.373
2003 Dufour P, Touré Y, Blanc D, Laurent P. On nonlinear distributed parameter model predictive control strategy: On-line calculation time reduction and application to an experimental drying process Computers & Chemical Engineering. 27: 1533-1542. DOI: 10.1016/S0098-1354(03)00099-1  0.358
2003 Bhartiya S, Dufour P, Doyle FJ. Fundamental thermal-hydraulic pulp digester model with grade transition Aiche Journal. 49: 411-425. DOI: 10.1002/Aic.690490212  0.46
2001 Dufour P, Bhartiya S, English TJ, Gatzke EP, Dhurjati PS, Doyle FJ. Fault Detection in a Continuous Pulp Digester Ifac Proceedings Volumes. 34: 93-98. DOI: 10.1016/S1474-6670(17)33574-7  0.616
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