NSERC Industrial Research Chair in the Control of Oil Sands Processes

2014

Publications-2014

  1. N. Sammaknejad, B. Huang*, A. Fatehi, Y. Miao, F. Xu, A. Espejo, Adaptive monitoring of the process operation based on symbolic episode representation and hidden Markov models with application toward an oil sand primary separation, Computers & Chemical Engineering, Volume 71, December 2014, 281-297
  2. C. Li, B. Huang*, D. Zheng, F. Qian*, MIMO Control System Performance Monitoring Based on Dissimilarity Analysis, Industrial & Engineering Chemistry Research, Nov., 2014, 53 (47), pp 18226–18235
  3. C. Li, S. Choudhury, B. Huang*, F. Qian*, Frequency Analysis and Compensation of Valve Stiction in Cascade Control Loops, Journal of Process Control, Volume 24, Issue 11, November 2014, Pages 1747–1760
  4. Y. Guo, Y. Zhao, B. Huang, Development of Soft Sensor by Incorporating the Delayed Infrequent and Irregular Measurements, Journal of Process Control, Volume 24, Issue 11, November 2014, Pages 1733–1739
  5. Z. Ge, B. Huang*, Nonlinear semi-supervised principal component regression for soft sensor modeling and its mixture form, Journal of Chemometrics, Volume 28, Issue 11, pages 793–804, November 2014
  6. M. Keshavarz and B. Huang*, "Expectation Maximization Method for Multivariate Change Point Detection in Presence of Unknown and Changing Covariance," Computers & Chemical Engineering, vol. 69, pp. 128-146, Oct. 2014
  7. L. Chen, L. Han, B. Huang*, F. Liu, Parameter estimation for a dual-rate system with time delay, ISA Transactions, Volume 53, Issue 5, pp 1368-1376, September 2014.
  8. Z. Zhao, B. Huang, F. Liu, State estimation in batch process based on two-dimensional state-space model, Industrial & Engineering Chemistry Research, Vol. 52, Issue 50, pp 19573 – 19582, November 2014
  9. L. Liu, B. Huang, S. Dubljevic*, Model Predictive Control of Axial Dispersion Chemical Reactor, Journal of Process Control, Volume 24, Issue 11, pp 1671-1690, November 2014
  10. Y. Lu, B. Huang*, Robust Multiple-model LPV Approach to Nonlinear Process Identification Using Mixture t Distributions, Journal of Process Control, Volume 24, Issue 9, September 2014, Pages 1472–1488
  11. K. Zhang, R. Gonzalez, B. Huang*, G. Ji, An expectation maximization approach to fault diagnosis with missing data, IEEE Transactions on Industrial Electronics, Volume 62, Issue 2, pp1231-1240, July 2014
  12. Z. Yu, J. Wang*, B. Huang, J. Li, Z. Bi, Performance assessment of industrial linear controllers in univariate control loops for both setpoint tracking and load disturbance rejection, Industrial & Engineering Chemistry Research, accepted June 2014
  13. W. Xiong, X. Yang, B. Huang*, B. Xu, Multiple-model Based LPV Time-delay System Identification with Randomly Missing Output Data Using EM Algorithm, Industrial & Engineering Chemistry Research, 2014, 53 (27), pp 11074–11083
  14. E. Naghoosi, B. Huang*, Automatic detection and frequency estimation of oscillatory variables in the presence of multiple oscillations, Industrial & Engineering Chemistry Research, 53(22), September 2014, 9427-9438
  15. R. Gonzalez, B. Huang*, Control-loop diagnosis using continuous evidence through kernel density estimation, Journal of Process Control, 24(5), May 2014, 640-651
  16. M. Chen, S. Khare, B. Huang*, A unified recursive just-in-time approach with industrial near infrared spectroscopy application, Chemometrics and Intelligent Laboratory System, 135(15), July 2014, 133-140
  17. P. Jagadeesan, B. Huang, S.L. Shah, Recursive constrained state estimation using modified extended Kalman Filter, Computers & Chemical Engineering, 65, June 2014, 9-17
  18. Z. Zhao, B. Huang, F. Liu, Constrained particle filtering methods for state estimation of nonlinear process, AIChE Journal, 60(6), June. 2014, 2072-2082
  19. S. Khatibisepehr, B. Huang*, S. Khare, E. Domlan, F. Xu, A. Espejo and R. Kadali, "A probabilistic framework for real-time performance assessment of inferential sensors," Control Engineering Practice, vol. 26, pp. 136-150, 2014
  20. A. Tulsyan*, B. Huang, B. Gopaluni, F. Forbes, Performance assessment, diagnosis, and optimal selection of non-linear state filters, Journal of Process Control, 24(2), Feb. 2014, 460-478.
  21. Z. Ge, B. Huang*, Z. Song, Mixture semi-supervised principal component regression model and soft sensor application, AIChE J., 60, Feb. 2014, 533-545
  22. M. Keshavarz, B. Huang, Bayesian and Expectation Maximization methods for multivariate change point detection, Computers & Chemical Engineering, 60(10), Jan. 2014, 339-353