Martin Guay PhD, P.Eng

Professor and Associate Head

Chemical Engineering, Mathematics and Engineering, Faculty, Cross Appointed
Phone: 613-533-2788
Fax: 613-533-6637
Dupuis Hall, Room: Room 406


Expertise: Nonlinear process control, Economic optimization control, Adaptive Control of Nonlinear Systems, Analysis of Biological Systems, Control and Estimation of Systems Described by PDEs
Martin Guay
Research Teaching Publications Awards & Grants

Process Control

  • Nonlinear Model Predictive Control
  • Geometric Control
  • Adaptive Control

Extremum Seeking Control (ESC)

  • ESC of systems described by partial differential equations.
  • ESC of uncertain systems.
  • Distributed ESC of large-scale systems

Observation and adaptation in nonlinear systems.

  • Observer design for Navier-Stokes Flow
  • Dead beat parameter identification
  • Set-based parameter estimation

Applied Statistics

  • Statistical modeling of dynamical systems
  • Parameter estimation of complex systems

Editorial Activities

  • Editor-in-Chief Journal of Process Control
  • Senior Editor, IEEE Control systems society letters (L-CSS)
  • Associate Editor, Automatica
  • Associate Editor, IEEE Transactions on Automatic Control
  • Associate Editor, Canadian Journal of Chemical Engineering.
 CHEE 319: Process Dynamics and Control

Journal Publications (Sample)

  1. K. T. Atta, A. Johansson and M. Guay, "On the Generalization and Stability Analysis of Pareto Seeking Control," in IEEE Control Systems Letters, vol. 2, no. 1, pp. 145-150, Jan. 2018.
  2. Ebegbulem, J. and M. Guay, "Distributed control of multi-agent systems over unknown communication networks using extremum seeking," in Journal of Process Control, vol. 59, pp. 37-48 (2017).
  3. Andreas Steinboeck, Martin Guay and Andreas Kugi, "A design technique for fast sampled-data nonlinear model predictive control with convergence and stability results," in International Journal of Control , https://doi.org/10.1080/00207179.2017.1346299
  4. Vandermeulen, I., M. Guay and P.J. Mclellan. “Distributed control of high-altitude balloon formation by extremum-seeking control”, in IEEE Transactions on Control Systems Technology , vol. PP, no. 99, pp. 1-17 (2017).
  5. Vandermeulen, I., M. Guay and P.J. Mclellan. “Discrete-time distributed extremum-seeking control over networks with unstable dynamics”, accepted for publication in IEEE Transactions on Control of  Network Systems,  vol. PP, no. 99, pp. 1-10 (2017).
  6. Guay, M. and D. Dochain. “A proportional-integral extremum-seeking controller design technique”.  Automatica,  77(3):61-67 (2017).
  7. Dougherty, S. and M. Guay. “An Extremum-Seeking Control for Distributed Optimization over Sensor Networks”. IEEE Trans. Autom. Contr., 62(2):928-983 (2017).
  8. Moshksar, E. and M. Guay. “Almost invariant manifold approach for adaptive estimation of periodic and aperiodic unknown time-varying parameters”, International Journal of Adaptive Control and Signal Processing, 30(1):76-92 (2016).
  9. Steinboeck, A., M. Guay, and A. Kugi, “Real-Time Nonlinear Model Predictive Control of a Transport–Reaction System”, Ind. Eng. Chem. Res., 55(28): 7730-7741 (2016).
  10. Goncalves, G. and M. Guay, “Robust discrete-time set-based adaptive predictive control for nonlinear systems”, J. Process Control, 39(3):111-122  (2016).
  11. Guay, M. and D.J. Burns. “A proportional integral extremum-seeking control approach for discrete-time nonlinear systems”, Int. Journal of Control, published online (2016).
  12. Moshksar, E. and M. Guay. “Estimation-based approach for real-time optimisation of uncertain nonlinear systems”, Int. Journal of Control, published online (2016).
  13. Guay, M. “A perturbation-based proportional integral extremum-seeking control approach”. IEEE Trans. Autom. Contr., 61(11):3370-3381 (2016).
  14. Guay, M. and N. Hudon. “Stabilization of Nonlinear Systems via Potential-based Realization”. IEEE Transactions on Automatic Control, 61(4):1075-1080 (2016).
  15. Moshksar, E. and  M. Guay, Almost invariant manifold approach for adaptive estimation of periodic and aperiodic unknown time-varying parameters, International Journal of Adaptive Control and Signal Processing, DOI: 10.1002/acs.2580 (2015).
  16. A.J. Giacomin, C. Saengow, M. Guay and C. Kolitawong, Pade approximants for large-amplitude oscillatory shear flow, Rheologica Acta, Vol. 54, 679-693 (2015).
  17. Guay M., E. Moshksar, and D. Dochain, A constrained extremum-seeking control approach, Int. J. Robust. Nonlinear Control,  Vol 25:15, 3132-3153 (2015).
  18. Guay, M. and D. Dochain , A multi-objective extremum-seeking controller design technique, International Journal of Control, Vol. 88:1, 38-53 (2015).
  19. Park, D. and M., Guay, Distributed estimation for a class of nonlinear systems with application to Navier-Stokes flow estimation, The Canadian Journal of Chemical Engineering, Vol 93:4, 678-688 (2015).
  20. Guay, M. and  D. Dochain, A time-varying extremum-seeking control approach, Automatica, Vol. 51:1,  356-363 (2015).
  21. Guay, M.; Dochain, D., "A Minmax Extremum-Seeking Controller Design Technique," Automatic Control, IEEE Transactions on , vol.59, no.7, pp.1874,1886, July 2014.
  22. Adetola, V.; Guay, M.; Lehrer, D., "Adaptive Estimation for a Class of Nonlinearly Parameterized Dynamical Systems," Automatic Control, IEEE Transactions on , vol.59, no.10, pp.2818,2824, Oct. 2014.
  23. M. Guay , D. Dochain , A multi-objective extremum-seeking controller design technique, International Journal of Control, Vol. 88, 1, 2015.
  24. Natalia I. Marcos , J. Fraser Forbes , Martin Guay, Prediction-driven coordination of distributed MPC controllers for linear unconstrained dynamic systems, International Journal of Control, Vol. 87, Iss. 8, 2014.
  25. Dhaliwal, S. and Guay, M. (2014), Set-based adaptive estimation for a class of uncertain nonlinear systems with output dependent nonlinearities. Can. J. Chem. Eng., 92: 1367–1377. doi: 10.1002/cjce.22001
  26. Samandeep Dahliwal, Martin Guay, Set-based adaptive estimation for a class of nonlinear systems with time-varying parameters, Journal of Process Control, Volume 24, Issue 2, February 2014, Pages 479-486
  27. Ehsan Moshksar, Martin Guay, A geometric approach for adaptive estimation of unknown growth kinetics in bioreactors, Journal of Process Control, Volume 24, Issue 10, October 2014, Pages 1496-1503
  28. Martin Guay, A time-varying extremum-seeking control approach for discrete-time systems, Journal of Process Control, Volume 24, Issue 3, March 2014, Pages 98-112
  29. Martin Guay, Denis Dochain, A time-varying extremum-seeking control approach, Automatica, Volume 51, January 2015, Pages 356-363
  30. K. Höffner and M. Guay, Subriemannian Metric Induced by Single-Input Locally Accessible Control-Affine Systems, Physica D: Nonlinear Phenomena, 247(1):1-6, 2013.
  31. Guay, M. and V. Adetola. “Adaptive economic optimising model predictive control of uncertain nonlinear systems”. International Journal of Control, 86(8):1425-1437 (2013).
  32. Marcos, N., J.F. Forbes and M. Guay. “Price-Driven Coordination of Distributed MPC Controllers for Constrained Dynamic Systems”. Ind. Eng. Chem. Res. 52(49): 17451-17464 (2013).
  33. Hudon N. and M. Guay. “Constructive Controller Design by Damping Feedback Stabilization of Control Affine Systems”.  Systems and Control Letters, 62:1009-1017 (2013).
  34. Hudon N and M. Guay. “Damping feedback stabilization for cyclic interconnections systems: Oscillations suppression and synchronization”, Journal of Process Control, 21:10, 1533-1541 (2011). 
  35. Cougnon, P., D. Dochain, M. Guay and M. Perrier. “On-line optimization of fedbatch bioreactors by adaptive extremum seeking control”, Journal of Process Control, 21:10, 1526-1532 (2011).
  36. Adetola, V. and M. Guay. “Robust adaptive MPC for constrained uncertain nonlinear systems”, International Journal of Adaptive Control and Signal Processing, 25(2), 155-167 (2011).

Other selected publications:

  1. Dochain, D., M. Guay and M. Perrier. “Extremum-seeking control and its application to process and reaction systems: A survey”, Mathematics and Computers in Simulation, Volume 82:3, 369-380 (2011).
  2. Labinaz, G. and M. Guay. “An Operator Approach to Viable Attainability of Hybrid Systems”, J. Nonlinear Systems and Applications, 2:1-2, 35-43 (2011).
  3. Burger, M. and M. Guay. “Robust constraint satisfaction for continuous-time nonlinear systems in strict-feedback form”, IEEE Trans. Autom. Contr., 55:11, 2597-2601 (2010).
  4. Perea, L, R.A. Hutchinson, and M. Guay. “Development of On-line Optimization-Based Control Strategies for a Semibatch Copolymerization Reactor”, Cont. Eng. Pract., 18:2, 131-139 (2010).
  5. Dalvi, A. and M. Guay, "Control and real-time optimization of an automotive hybrid fuel cell power system," Control Engineering Practice 2009.  
  6. Adetola, V., D. DeHaan and M.Guay, "Adaptive Model Predictive Control of Constrained Nonlinear Systems," Systems and Control Letters58, 5, 320-326, 2009 [More information].
  7. Favache A., Guay, M., Perrier M., Dochain D., " Extremum Seeking Control of Retention for a Microparticulate System," Canadian Journal of Chemical Engineering86, 5, 815-827, 2008.
  8. Dallagi, A., J. F. Forbes, M.G. Forbes and M. Guay, "Stochastic feedforward–feedback control design in a discrete-time case,"Journal of Systems and Control Engineering222, 1, 655-660, 2008.

Books (Chapters)

DeHaan, D., V. Adetola and M. Guay, "Adaptive model predictive control: a minimally conservative approach," Ch. 384, in Nonlinear Model Predictive Control Towards New Challenging Applications Series:Lecture in Control and Information Sciences, July, Magni, L., D.M. Raimonde and F. Allgower, ed(s)., Springer, 2009, [More information].

Dochain, D., M. Guay, M. Perrier and M. Titica, "Adaptive linearizing control and extremum-seeking control of bioprocesses," inBioprocess Control, D. Dochain, ed(s)., John Wiley and Sons, 2008.

Adetola, V. and M. Guay, "Adaptive Control of Nonlinear Systems," in Frontiers in Adaptive Control, A. Lazinica, ed(s)., I-Tech Education and Publishing, Vienna, Austria , 2008.

  1. DeHaan, M. Guay, " A new real-time method for nonlinear model predictive control," Ch. 378, in Assessment and Future Directions of Nonlinear Model Predictive Control, Lecture Notes in Control and Information Sciences, R. Findeisen, R. Allgower, L. Biegler, ed(s)., Springer, 2007.

Funding:

  • OCE
  • NSERC
  • The Fields Institute
  • UTRC
  • MITACS
  • MERL
  • PRAXAIR
  • JOHNSON CONTROLS
  • SUNCOR

Awards

  • D.G. Fisher Award
  • Syncrude Innovation Award
  • Premier Research Excellence Award
  • Queen's Chancellor Research Award
  • Golden Apple Teaching Award



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