B. Erik Ydstie
Professor of Chemical Engineering, Professor of Electrical Engineering at Carnegie Mellon (Courtesy), Professor II of Electrical Engineering at NUST, Trondheim, Norway

Office: Doherty Hall 2208B
Phone: (412) 268-2235
Fax: (412) 268-7139
Email: ydstie@andrew.cmu.edu
Secretary: Alice Yochum
    Phone: (412) 268-9851
    Fax: (412) 268-7921
    Email: ayochum@andrew.cmu.edu

Biography
Research Interests
Highlights
Awards and Honors
Publications
Research Group Site
Center for Advanced Process Decision-making

Biography

Dr. B. Erik Ydstie is currently Professor of Chemical Engineering. He received his BS in Chemistry from the University of Trondheim in 1977 after which he entered Imperial College, receiving his PhD in 1982. Prof. Ydstie entered academics at the University of Massachusetts in 1982 where he taught and did research until 1992 when he joined the Department of Chemical Engineering at Carnegie Mellon. Prof. Ydstie also has held or holds appointments in the Departments of Electrical Engineering and in Materials Science at the Norwegian University of Science and Technology in Trondheim. He held academic visiting positions at the University of Newcastle, Ecole des Mines de Paris, and Imperial College. He serves on the Advisory Boards of the ACS Petroleum Research Fund and Worchester Polytechnic Institute. Prof. Ydstie has had industrial appointments as R&D Director of ELKEM ASA and as Board Member and Chairman of Solar Silicon. Prof. Ydstie founded Industrial Learning Systems to take advantage of his advances in adaptive control; he is the current CTO/CEO of that company.

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Research Interests

Prof. Ydstie had 5 MS, 6 PhD and 4 PostDoc students working on projects related to adaptive control, process modeling, complex process networks and solar cells. Yuan Xu developed a new theory for representing phase equilibrium problems based the idea of a convex envelope. The result showed that prior assumptions we made about the geometry of the entropy were not correct. Kendell Jillson developed control strategies for IGCC processes with CO2- recycle. Mohit Aggarwal spent the summer at Air Products developing models for bio-mass gasification. He obtained a startling new result for stability of process systems using variational calculus. Michael Wartmann spent the fall in Delft working on enhanced oil recovery with the Royal Dutch Shell research group. He developed some very interesting results on distributed dynamic optimization with application to irreversible thermodynamics. Juan Du (new student) started her work on nonlinear control and stability analysis of hybrid system. The main application domain is expected to be failsafe chemical plants and solar grade silicon processes. Rocco Panella started work on dye sensitized solar cells.

Design and control of particulate processes with application to Solar Cell production
In this project we develop models and control strategies for solar grade Silicon production. Solar grade silicon is in high demand due to the very rapidly growing interest in using solar cells to generate electricity for domestic uses, telecommunications and distributed power generation in the third world. The photovoltaic industry is facing a critical shortage of solar-grade silicon, and a large number of manufacturers worldwide are trying to develop new production technology to meet the demand in a market that continues to grow at a rate of 30-35% annually. Our investigation is aimed towards design and control of fluidized bed reactors for decomposition of Silane. The project is carried out in cooperation with SGS LLC in Moses Lake WA where the pilot plant experiments are carried out.

Dynamics and Control of Complex Process Networks
We have introduced a framework for studying dynamics, distributed control, and optimization of complex networks. These networks represent self-organizing structures so that stability and optimality follow as a consequence of how the networks are put together and how they are connected with other networks. The class is sufficiently broad to cover process networks, bio-chemical networks, reaction networks, and supply chains. The study has led to a decomposition of the business decision making processes, optimal behaviors and decentralized decision making. We use the formalism of irreversible thermodynamics and the passivity theory of nonlinear control as a basis for this theory. We are currently investigating the application of the theory to bio-chemical networks, specifically in the optimization and control of metabolic pathways.

Real Time Adaptive Control and Optimization
We are developing online optimization techniques for constrained and unconstrained optimization using input output data. The aim is to develop stand alone optimization modules that gather information by simulation and/or experimentation and adaptively controls the process so that over time the optimizer converges to the optimal decision maker. The optimizer we developed is based a method referred to as Q learning which was developed in the area of computer science for optimal control of discrete and continuous Markov decision problems. We have adapted the method for real time process control and we have developed a theoretical foundation for on-line decision making using adaptive control theory. The advantages of the adaptive methods over other traditional optimization approaches are that it uses current process models to develop policies and that they self-learning in the sense that they adapt as process conditions change.

Design and Control of Multi-Phase Reactor Systems
The focus of this research is on passivity-based control of multiphase reaction systems. To study this type of system, a metallurgic process has been chosen involving the carbothermic reduction of aluminum. This process takes carbon and aluminum oxide feed to produce aluminum in a complex sequence of reaction steps. The fluid flow dynamics and the heat transfer properties must be managed carefully since the reactions occur at elevated temperatures (above 2000 degrees C). Pilot plant studies of the reaction are carried out by ALCOA, the worlds leading producer of Aluminum. AT CMU we develop dynamic models for conceptual design, process optimization and process control.

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Highlights

I started teaching the unit operations laboratory. I enjoy this challenege very much, and I am looking forward to developing this class together with Matt Cline and the students. Research continues to move towards experiments and physics and away from abstract math.

• Undergraduate Unit Operations: I followed John Kitchin's outline for the class in the sense that we proposed a set of about 25 projects for students to choose from. Many of these projects were based on those the students had done in previous years, and some of these projects (about five) were new projects Matt Cline and I defined. However, I strongly encouraged the students to come up with new projects and write proposals on their new ideas rather than simply picking projects from a list. This process worked very well and many of the best and most interesting projects turned out to be the ones the students developed in response to this rather significant challenge. This level of work and creativity is what we expect of senior CMU students. The projects included:

  • Developing a new process for spinning fibers from bamboo
  • Phosphorous removal from the blood (the students started writing a patent application)
  • Developing a new solar wafer process
  • Electro-spinning of coaxial light conducting polymers
  • CO₂ capture using algae in a large pilot plant
  Much of the credit goes to Matt Cline for day to day management of the course and to Larry Hayhurst for machining many complex components designed by the students. Without these wonderful people and financial support of up to $2,000 per project from the department, it would not be possible to run this very unique class. I have visited many departments of Chemical Engineering around the country, and the unit ops in other places were generally unoriginal. None of them compares to what we do here at CMU.

• Research: I was very pleased to receive an experimental grant from NSF for modeling and experimentation on a new wafer process for solar cells. We just ordered the furnace to be installed in Sridhar Seetharman's lab. I started collaborative research with Dennis Prieve and Jim Schneider, which I am very excited about. It is challenging to follow discussions and to contribute to experiemental programs.

• Short Courses: I developed a good short course in adaptive control for CAPD and NTNU. I am currently in the process of writing up the notes.

• Industrial Learning Systems: We continued software development control in coal fired power plants. We are negotiating license agreements with Emerson and starting work with EXXON and DOW. We have five full time and four part time employees. We received $150,000 an NSF SBIR Phase I to commercialize soalr wafer process.

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Awards and Honors

• CAST award of the AICHE, 2007

• 13^th RWH Sargent Lecture Imperial College, London, 2006

• NTNF (Norwegian Science Research Foundation) Fellowship, 1981-1982

• British Petroleum Fellowship, 1977-1980

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Publications

       Recent Publications

       Selected Publications

       Full Publications

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Recent Publications

BALAJI, J. DU, C.M. WHITE and B. Erik Ydstie, “Multi-scale modeling and control of fluidized beds for the production of solargrade silicon,” Powder Technology, Vol. 199, 2010, pp. 23–31

WEN, C., X. MA and B. ERIK YDSTIE, Analytical Expression of Explicit MPC Solution via Lattice Piecewise-Affine Function, Automatica, Volume 45, (4), 2009, pp. 910-917

WEN, C., B. ERIK YDSTIE and X. MA “Stochastic Mixed Integer Nonlinear Programming using Rank Filter and Ordinal Optimization”, AIChE Journal, 55(11): 2873-2882, 2009.

Z.T. ZHANG, S. BALAJI, I.R. SOHN, B.E. YDSTIE AND S. SRIDHAR, Influence of Fast Path Diffusion on the Oxidation of Mn Strengthened IF Steels, Defect and Diffusion Forum Vols. 283-286 (2009) pp 432-438

JILLSON, K, V. CHAPALAMADUGU and B. E. YDSTIE “Inventory and flow Control of the IGCC Process with CO2 recycles”, Journal of Process Control, (2009) Vol.19 pp 1470-1485.

B.E. YDSTIE, “Process Control: The Passive Systems Approach” Review of by JIE BAO and PETER L. LEE, IEEE Control Systems Magazine, Feb. 2010, pp 78-80

N. PEPPAS, G. REKLAITIS and BE YDSTIE, "Jennifer Sinclair Curtis of the University of Florida," Chemical Engineering Education, Vol. 42, No 1 (2008) pp. 2-9 2008

YDSTIE B. E., Availability and Dissipativity in Process Networks: Foundations of Process Control”, in Meeting the Entropy Challenge, An International Thermodynamics Symposium edited by G. P. Beretta, A.F. Ghoniem, G.N. Hatsopoulos, American Institute of Physics Conference Proc, 1033, Melville, NY, 2008

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Selected Publications

Alonso, A. A. and Ydstie, B. E. ``Stabilization of Distributed Systems using Irreversible Thermodynamics", Automatica ., Vol. 37, (2001) pp. 1739-1755.

Radenkovic and B.E. Ydstie (1999) Optimality of a Direct Adaptive Controller in the Presence of Model Mismatch and Bounded Disturbances, Circuits Systems and Signals, Vol. 18, No 3.

Perea, E.; Grossmann, I. ; Ydstie, E.; Tahmassebi, T.; "Dynamic modeling and classical control theory for supply chain management", Computers & Chemical Engineering , Vol. 24 (2000), p.1143-1149

Coffey, Duncan P., Chad A. Farschman and B. Erik Ydstie (2000).Distillation Stability Using Passivity and Thermodynamics. Computers Chem Engng . 24: 317-322.

Ydstie, B.Erik, (2002), New Vistas for Process Control: Integrating Physics and Communication Networks, AIChE J. Vol. 48, No 3, pp. 422-426. Also in CEP , March 2002, P18.

Garcia-Osorio and Ydstie (2004) "Vapor recovery reactor in Carbothermic Aluminum Production", Che. E. Sci , Vol. 59, N0 10, pp. 2053-1064.

Ydstie, B. Erik Integrating Business, Information Technology and Process Systems Engineering, World Market Series, Business Briefing, CPI Technology , Jan. (2003), pp 71-72.

Perea Lopez, E., B. Erik Ydstie and Ignacio Grossmann, A model predictive control strategy for supply chain management, Comp. & Chem. Eng . Vol. 27, (2003) pp 1201-1218.

Garcia Osorio, V. and B. Erik Ydstie, "Distributed, asynchronous and hybrid simulation of process networks using recording controllers," Int. Journal of Robust and Nonlinear Control , Vol. 14, (2004) pp 227-248.

Hill H. Jennifer and B. Erik Ydstie, "Adaptive Control with Selective Memory," Int. Journal of Adaptive Control and Signal Processing , 2004, Vol 18, pp571-587.

Ydstie, B.Erik, "Distributed Decision Making in Complex Organizations: The Adaptive Enterprise," Comp. Chem Eng. 2004, Vol 29, pp11-27.

B. ERIK YDSTIE and YU JIAO "Passivity Based Inventory and Flow Control in Flat Glass, Manufacture", IEEE-CDC, Nassau , Bahamas , Dec 14-17, 2005.

JILLSON, KENDELL and B. ERIK YDSTIE, "Complex Process Networks: Passivity and Optimality" To be published in Proc. of the IFAC World Congress, Praha, July, 2005.

RUSZKOWSKI, MARTIN, MARK READ, ROBERT KAISER, PHILIP RICHARDSON, TOM KERN, B. ERIK YDSTIE "Passivity based control and real time optimization of a Silicon process", to be published in the proceedings of the IFAC World Congress, Prague, Czech Rep. July, 2005.

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Full Publications

1. FORTESCUE, T. R., KERSHENBAUM, L. S. and YDSTIE, B. E. ``Self-Tuning Regulators with Variable Forgetting Factors," Automatica, Vol. 17, November 1981, pp. 831-835. (More than 290 citations)

2. KERSHENBAUM, L. S. and YDSTIE, B. E. ``Self Tuning Regulators with Variable Forgetting Factors, Authors' Reply," Automatica, Vol. 19, March 1983, p. 346.

3. YDSTIE, B. E., KERSHENBAUM, L. S. and SARGENT, R. W. H.``Theory and Application of a Robust Tuning Regulator," AIChE J.,Vol. 31, No. 11, November 1985, pp. 1771-1780. (More than 50 citations

4. YDSTIE, B. E. and CO, T. B. ``Recursive Estimation and Adaptive Divergence Control," Proc. IEE Pt D., Vol. 132, No. 3, May 1985, pp. 124-130.

5. YDSTIE, B. E. ``Some Reflections on the Adaptive Control Problem," PROCEEDINGS OF THECPC-III CONFERENCE, Asilomar, 1986, M. Morari and T. McAvoy (Eds.), pp. 215-220.

6. YDSTIE, B. E. and SARGENT, R. W. H. ``Convergence and Stability Properties of an Adaptive Regulator with Variable Forgetting Factor", Automatica, Vol. 22, December 1986, pp. 749-751.

7. FARBER, J. N. and YDSTIE, B. E.``Adaptive Compensation for Large Disturbances in a Continuous Polymerization Reactor," I& EC Fund., Vol. 25, 1986, pp. 350-356

8. CHESNA, S. A. and YDSTIE, B. E. ``Self Tuning and Adaptive Control of Chemical Processes," ADAPTIVE AND LEARNING SYSTEM: THEORY AND APPLICATIONS, K. S. Narendra (Ed.) Plenum Press, New York, 1986, pp. 119-130.

9. YDSTIE, B. E. ``Adaptive Process Control" Chem. Eng Res. Dev., Vol 65, Nov 1987, pp. 480-489.

10. YDSTIE, B. E., GOLDEN, M. P. and CHESNA, S. A.``Adaptive Nonlinear Model Control," Chem. E. Comm. Vol, 63, pp. 17-37 1988

11. YDSTIE, B. E., LIU, L. K. and KEMNA, A. H., ``Multivariable Extended-Horizon Adaptive Control", Comp. Chem. Eng., Vol. 12, No. 7, 1988, pp. 733 -743

12. YDSTIE, B. E., KEMNA, A. H. and LIU, L. K. "Multi-Step Adaptive Control" IMPLEMENTATIONS OF SELF TUNING REGULATORS, K. Warwick (Ed.), Peter Peregrinus Publ. Co.,U.K. Jan. 1988, pp. 181-194.

13. GOLDEN, M. P. and YDSTIE, B. E. ``Bifurcation in Model Reference Adaptive Control Systems", System and Control Letters, Nov. 1988, pp. 413-430.

14. GOLDEN, M. P. and YDSTIE, B. E.,``On-line Optimization of a Continuous Bio-Reactor", AIChE J., 1989, Feb, pp. 1157-1169.

15. YDSTIE, B. E. ``Stability of Discrete Model Reference Adaptive Control Revisited", Systems and Control Letters, Vol. 13, Dec 1989, pp. 429-438.

16. FINN, C. K. and YDSTIE, B. E.,``Discrete Time Adaptive Control", THE SECOND SHELL PROCESS CONTROL WORKSHOP, D. Prett, C. Garcia and B. Ramaker (Eds.), Butterworths, Stoneham, MA, 1989, pp. 89-108.

17. STERMAN, L. E. and YDSTIE, B. E.,``The Steady State Process with Periodic Perturbations," Chem. E. Science, Vol. 45, No. 3, 1990, pp. 721-736.

18. STERMAN, L. E. and YDSTIE, B. E. ``Unsteady State Multivariable Analysis of Periodically perturbed Systems", Chem. E. Science, Vol. 45, No.3, 1990, pp. 737-749.

19. YDSTIE, B. E. ``Forecasting and Control using Adaptive Connectionist Networks", Comp. Chem. E., Vol. 14, No. 415, pp. 583-599, 1990 (More than 50 citations)

20. CO, T. and YDSTIE, B. E., ``Process Identification and Model Reduction using Modulating Functions and Fast Fourier Transforms" Comp. Chem. Eng. Vol.14, No. 10, pp 1051-1066, 1990.

21. YDSTIE, B. E. ``Stability of the Direct Self Tuning Regulator", FOUNDATIONS OF ADAPTIVE CONTROL, P. Kokotovic (Ed.), Springer Verlag, Berlin, 1991, pp. 201-238.

22. NAIK, S. J., KUMAR, P. R. and YDSTIE, B. E.,``Robust Continuous Time Adaptive Control with Parameter Projection", FOUNDATIONS OF ADAPTIVE CONTROL, P. Kokotovic (Ed.), Springer Verlag, Berlin, 1991, pp. 153-200.

23. MAREELS, I. M. Y. and YDSTIE, B. E. ``Global Stability for the MIT rule for Adaptive Control", IEEE Press Vol. 11, Narendra, Ortega and Dorato (Eds.), 1990.

24. STERMAN, L. E. and YDSTIE, B. E. ``Periodic Perturbation and Averaging in Chemical Reacting Systems" b, Vol 37, No 7, July, 1991, pp. 986-996.

25. NAIK, S. J. P. R. KUMAR and YDSTIE, B. E. ``Robust Continuous Time Adaptive Control with Parameter Projection", IEEE Transactions on Auto. Control, Vol T-AC, Jan. 1992, pp. 182-197.

26. GOLDEN, M. P. and YDSTIE, B. E. ``Ergodicity and Small Amplitude Chaos in Adaptive Control", Automatica, Vol. 28, No. 1, Jan. 1992, pp 11-25.

27. YDSTIE, B. E. ``Transient Performance and Robustness of the Direct Adaptive Control", IEEE Transactions on Auto. Control, Vol. 37, No. 8, Aug. 1992, pp.1091- 1105.

28. DOCHAIN, D., PERRIER, M. and YDSTIE, B. E. ``Asymptotic Observers for Stirred Tank Reactors", Chem. E. Science, Vol. 47, No. 14/15, 1992, pp. 4167-4177.

29. FROUZAKIS, C.E., ADOMAITIS, R. A., KEVRIKIDIS, I. G., GOLDEN, M. P. and YDSTIE, B. E. ``The Structure of Basin Boundaries in a Simple Adaptive Control System", Chaotic Dynamics: Theory and Practice, T. Bountis (Ed.), Plenum Press, NY. 1992, pp. 195-210.

30. FINN, C. K., YDSTIE, B. E. and B. WAHLBERG,``Quadratic Dynamic Matrix Control using FIR and Markov-Laguerre Models", AIChE Journal, Vol. 39,No. 11, 1993., pp. 1810-1826

31. GOLDEN, M. P. and YDSTIE, B. E. ``Drift Instabilities and Chaos in Forecasting and Adaptive Decision Theory", Physica D, Vol. 72, 1994, pp. 309-323.

32. RADENKOVIC, S. R. and YDSTIE, B. E., ``Using Persistent Excitation with Fixed Energy to Stabilize Adaptive Controllers and Obtain Hard Bounds for the Parameter Estimation Error", SIAM J. Cont. and Optimization, 1995

33. KELLY, J. H. and YDSTIE, B. E. ``Design guidelines for adaptive control with applications to systems with structural flexibility", Adaptive signal Processing and Control, P. R. Kumar, G. C. Goodwin and K. J. Astrom, (Eds.), Springer Verlag, NY (1995)

34. RADENKOVIC, S. R. and YDSTIE, B. E. ``Optimality of the self-tuning regulators", Adaptive signal Processing and Control, P. R. Kumar, G. C. Goodwin and K. J. Astrom, (Eds.), Springer Verlag, NY (1995), pp. 1224-1246.

35. STAUS, G., L.T. BIEGLER and B. E. YDSTIE, ``Adaptive Control via Non-Convex Optimization, State of Art in Global Optimization, Vol 9. (C.A. Floudas and P.M. Pardoulos Eds.), Kluwer Academic Publ. Boston, (1996) pp. 119-138

36. YDSTIE, B. E. and A. ALONSO,``Process Systems and Passivity via the Clausius-Planck Inequality, Systems and Control Letters, Vol. 30, (1997), pp. 253-264

37. KELLY, J. H. and YDSTIE, B. E. ``Adaptive H infinity control with application to systems with structural flexibility", IEEE Transactions on Auto. Cont., Vol 42, No. 10, October, (1997), pp. 1358-1369.

38. YDSTIE, B. E. ``Certainty equivalence adaptive control - what's new in the gap", Chemical Process Control V, J.C. Kantor, C.E Garcia and B. Carnahan (eds.), CACHE, American Institute of Chemical Engineers, NY (1997), pp. 9-23

39. SAUAR, E. and YDSTIE, B. E. ``The temperatures of the maximum reaction rate and their relation to the equilibrium temperatures", Journal of Physical Chemistry A, Vol 102. (1998) pp. 8860-8864

40. FARSCHMAN, C.A., K.P. VISWANATH and YDSTIE, B. E., ``Process systems and inventory control", AIChE J., Vol 44,(1998) pp.1841-1857.

41. ALBUQUERQUE, J., V. GOPAL, G. STAUS, L.T. BIEGLER and YDSTIE, B. E. ``Interior point SQP strategies for structured process optimization problems", Comp in Chem E., in print.

42. HANGOS, K.M., A.A. ALONSO, J.D. PERKINS and B.E. YDSTIE, “Thermodynamic Approach to the Structural Stability of Process Plants,” AIChE Journal, Vol 45, (1999), pp 802-816.

43. ALONSO, A. A. and YDSTIE, B. E. ``Stabilization of Distributed Systems using Irreversible Thermodynamics", Automatica., Vol. 37, (2001) pp. 1739-1755.

44. RADENKOVIC AND B.E. YDSTIE (1999) Optimality of a Direct Adaptive Controller in the Presence of Model Mismatch and Bounded Disturbances, Circuits Systems and Signals, Vol. 18, No 3

45. PEREA, E.; GROSSMANN, I.; YDSTIE, E.; TAHMASSEBI, T.; "Dynamic modeling and classical control theory for supply chain management", Computers & Chemical Engineering, Vol24 (2000), p.1143-1149

46. PEREA LOPEZ, E., E.; GROSSMANN, I.; B.E. YDSTIE,.; TAHMASSEBI, T.;"Dynamic modeling and decentralized control of supply chains"; Industrial and Engineering Chemistry Research, Vol 40. N0. 15, (2001) pp. 3369-3383.

47. COFFEY, DUNCAN P., CHAD A. FARSCHMAN AND B. ERIK YDSTIE (2000).Distillation Stability Using Passivity and Thermodynamics. Computers Chem Engng. 24: 317-322.

48. ALONSO, A. B. ERIK YDSTIE and J. R. BANGA (2002), From Irreversible Thermodynamics to a Robust Control Theory for Distributed Process Systems, Journal of Process Control, Vol. 12, pp. 507-517.

49. YDSTIE, B. ERIK,(2002), Passivity Based Control via the Second Law, Comp. and Chem. Eng., Vol. 26, pp. 1037-1048.

50. YDSTIE, B.ERIK, (2002), New Vistas for Process Control: Integrating Physics and Communication Networks, AIChE J. Vol. 48, No 3, pp. 422-426 (front page article). Also in CEP, March 2002, P18.

51. Garcia-Osorio and Ydstie (2004) “Vapor recovery reactor in Carbothermic Aluminum Production”, Che. E. Sci, Vol. 59, N0 10, pp. 2053-1064.

52. YDSTIE, B. ERIK Integrating Business, Information Technology and Process Systems Engineering, World Market Series, Business Briefing, CPI Technology, Jan. (2003), pp 71-72

53. PEREA LOPEZ, E., B. ERIK YDSTIE and IGNACIO GROSSMANN, A model predictive control strategy for supply chain management, Comp. & Chem. Eng. Vol. 27, (2003) pp 1201-1218.

54. GARCIA OSORIO, V. and B. ERIK YDSTIE, “Distributed, asynchronous and hybrid simulation of process networks using recording controllers,” Int. Journal of Robust and Nonlinear Control, Vol. 14, (2004) pp 227-248

55. HILL F. JENNIFER and B. ERIK YDSTIE, “Adaptive Control with Selective Memory,” Int. Journal of Adaptive Control and Signal Processing, 2004, Vol 18, pp571-587.

56. YDSTIE, B.ERIK, “Distributed Decision Making in Complex Organizations: The Adaptive Enterprise,” Comp. Chem Eng., Vol 29, (2004) pp. 11-27.

57. BIEGLER L.T., I.E. GROSSMANN, S. HAUAN, G.J. POWERS and B.E. YDSTIE, ”Preface to Art Westernerg Festschrift, Ind. Eng. Chem. Res. Vol. 43, N0. 14, 2004. 3467-3468.

58. GARCIA OSORIO, V. and B. ERIK YDSTIE, “Multiphase Reaction Model for a Moving Bed Vapor Recovery Reactor ”, Chem.. E. Sci, Under Review.

59. YDSTIE, B. ERIK and Y. JIAO “Integrating Business Decision Making, Information Technology and Process Systems Engineering, Proceedings of the PSE Conference (Binzheng and Westerberg Eds.), Kunming, China, (2004)

60. GARCIA OSORIO, V.M. RUSZKOWKI and B. ERIK YDSTIE, “Integrating Physics and Process control using Passivity and the Second Law of Thermodynamics ”, AIChE, Dec, 2005.

61. BOGLE, I.DAVID L.and B.E. YDSTIE, Equipment and Process Design, Wiley VCH (L. Puihjaner and G. Heyen, eds), Weinheim Germany, (2006) pp. 383-416.

62. WHITE CHRISTY M. and B. ERIK YDSTIE, “Size distribution modeling for fluidized bed solar-grade silicon production, Powder Technology 163 (2006) 51-58.

63. GEROGIORGIS, D.I., AND YDSTIE, B.E., "Multiphysics CFD modeling for design and simulation of a multiphase chemical reactor", Transactions of the Institution of Chemical Engineers (IchemE) Part A : Chemical Engineering Research and Design, 83(6): 603-610 (2005).

64. YDSTIE, B.E. and Y. JIAO, “Passivity Based Control of the Float Glass Process: Multi-scale decomposition and real-time optimization of complex flows” IEEE Control Systems Magazine, Dec 2006, Vol 26, No 6, pp64-72. (front page article

65. JIN WANG and B. ERIK YDSTIE, “Trajectory Tracking using Robust Inventory Control”, IEEE Transactions on Control Systems Technology, Vol. 15 (4): July 2007 pp. 768-774

66. WHITE, CM, G. SCHEININGER, P. EGE, BE YDSTIE, Multi-Scale modeling of CVD processes, Journal on Chemical Vapor Deposition, Volume 13, Issue 9, September, 2007

67. JILLSON, K and B. E. YDSTIE “Process Networks”, Journal of Process Control, Vol. 17, (2007), pp 399-413

68. DUENAS-DIEZ M, B LIE, M FJELD AND BE YDSTIE Inventory control of particulate processes, Comp Chem Eng. March, 2007

69. DOZAL ME, K. R JILLSON and BE. YDSTIE Supply Chains as Dynamical Systems, S. Pistikopolis Eds. Wiley Inter Science, (L. Papageorgiou and S. Pistikopolis eds), New York, 2007

70. N. PEPPAS, G. REKLAITIS and BE YDSTIE, Jennifer Sinclair Curtis of the University of Florida, Chemical Engineering Education, Vol. 42, No 1 (2008) pp. 2-9 2008

71. YDSTIE B. E., Availability and Dissipativity in Process Networks: Foundations of Process Control”, in Meeting the Entropy Challenge, An International Thermodynamics Symposium edited by G. P. Beretta, A.F. Ghoniem, G.N. Hatsopoulos, American Institute of Physics Conference Proc, 1033, Melville, NY, 2008

72. N. PEPPAS, G. REKLAITIS and BE YDSTIE, "Jennifer Sinclair Curtis of the University of Florida," Chemical Engineering Education, Vol. 42, No 1 (2008) pp. 2-9 2008

73. YDSTIE B. E., Availability and Dissipativity in Process Networks: Foundations of Process Control”, in Meeting the Entropy Challenge, An International Thermodynamics Symposium edited by G. P. Beretta, A.F. Ghoniem, G.N. Hatsopoulos, American Institute of Physics Conference Proc, 1033, Melville, NY, 2008

74. WEN, C., X. MA and B. ERIK YDSTIE, Analytical Expression of Explicit MPC Solution via Lattice Piecewise-Affine Function, Automatica, Volume 45, (4), 2009, pp. 910-917 

75. WEN, C., B. ERIK YDSTIE and X. MA “Stochastic Mixed Integer Nonlinear Programming using Rank Filter and Ordinal Optimization”, AIChE Journal, 55(11): 2873-2882, 2009.

76. Z.T. ZHANG, S. BALAJI, I.R. SOHN, B.E. YDSTIE AND S. SRIDHAR, Influence of Fast Path Diffusion on the Oxidation of Mn Strengthened IF Steels, Defect and Diffusion Forum Vols. 283-286 (2009) pp 432-438

77. JILLSON, K, V. CHAPALAMADUGU and B. E. YDSTIE “Inventory and flow Control of the IGCC Process with CO2 recycles”, Journal of Process Control, (2009) Vol.19 pp 1470-1485.

78. B.E. YDSTIE, “Process Control: The Passive Systems Approach” Review of by JIE BAO and PETER L. LEE, IEEE Control Systems Magazine, Feb. 2010, pp 78-80

79. BALAJI, J. DU, C.M. WHITE and B. Erik Ydstie, “Multi-scale modeling and control of fluidized beds for the production of solargrade silicon,” Powder Technology, Vol. 199, 2010, pp. 23–31

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