PUBLICATIONS (Google Scholar Citation Profile)
Books and Edited Issues
  1. J. Liu and H. E. Durand (Eds.). New Directions on Model Predictive Control. Special issue of Mathematics, 2018.
  2. M. Ellis, J. Liu, and P. D. Christofides. Economic Model Predictive Control: Theory, Formulations and Chemical Process Applications. Advances in Industrial Control, Springer-Verlag, London, England, 2016. (304 pages). PDF
  3. P. Mhaskar, J. Liu, and P. D. Christofides. Fault-Tolerant Process Control: Methods and Applications. Springer-Verlag, London, England, 2013. (281 pages). PDF
  4. P. D. Christofides, J. Liu, and D. Munoz de la Pena. Networked and Distributed Predictive Control: Methods and Nonlinear Process Network Applications. Advances in Industrial Control Series. Springer-Verlag, London, England, 2011. (230 pages). PDF

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Journal Articles (* indicates corresponding author)
  1. S. A. Hussain*, R. K. K. Yuen, J. Liu, J. Wang. Adaptive modeling for reliability in optimal control of complex HVAC systems. Building Simulation, accepted.
  2. J. Nahar, S. Liu, J. Liu*, S. L. Shah. Improved storm water management through irrigation rescheduling for city parks. Control Engineering Practice, 87:111-121, 2019. PDF
  3. J. Nahar, S. Liu, Y. Mao, J. Liu*, S. L. Shah. Closed-loop scheduling and control for precision irrigation. Industrial & Engineering Chemistry Research, 58:11485-11497, 2019. PDF
  4. S. Liu, Y. Mao, and J. Liu*. Model predictive control with generalized zone tracking. IEEE Transactions on Automatic Control, accepted. PDF
  5. X. Yin, J. Zeng, and J. Liu*. Forming distributed state estimation network from decentralized estimators. IEEE Transactions on Control Systems Technology, in press. PDF
  6. J. McAllister, Z. Li, J. Liu* and U. Simonsmeier. Erythropoietin dose optimization for anemia in chronic kidney disease using recursive zone model predictive control. IEEE Transactions on Control Systems Technology, 27:1181-1193, 2019. PDF
  7. L. Zhang*, W. Xie, and J. Liu. Robust control of saturating systems with Markovian packet dropouts under distributed MPC. ISA Transactions, 85:49-59, 2019. PDF.
  8. J. Nahar, J. Liu*, and S. L. Shah. Parameter and state estimation of an agro-hydrological system based on system observability analysis. Computers & Chemical Engineering, 121:450-464, 2019. PDF.
  9. X. Yin and J. Liu*. Subsystem decomposition of process networks for simultaneous distributed state estimation and control. AIChE Journal, 65:904-914, 2019. PDF.
  10. J. Cui, S. Liu, J. Liu*, and X. Liu. A comparative study of MPC and economic MPC of wind energy conversion systems. Energies, 11, 23 pages, 2018. PDF.
  11. A. Zhang, X. Yin, S. Liu, J. Zeng, and J. Liu*. Distributed economic model predictive control of wastewater treatment plants. Chemical Engineering Research and Design, 141:144-155, 2018. PDF.
  12. Y. Mao, S. Liu, J. Nahar, J. Liu*, and D. Feng. Soil moisture regulation of agro-hydrological systems using zone model predictive control. Computers and Electronics in Agriculture, 154:239-247, 2018. PDF.
  13. B. Decardi-Nelson, S. Liu, and J. Liu*. Improving flexibility and energy efficiency of post-combustion CO2 capture plants using economic model predictive control. Processes, 6, 22 pages, 2018. PDF.
  14. G. Yang, J. Liu, and B. Huang*. Limits of control performance for distributed networked control systems in presence of communication delays. International Journal of Adaptive Control and Signal Processing, 32:1282-1293, 2018. PDF
  15. J. McAllister, Z. Li*, J. Liu, and U. Simonsmeier. EPO dosage optimization for anemia management: stochasitc control under uncertainty using conditional value at risk. Processes, 6, 22 pages, 2018. PDF
  16. S. Liu and J. Liu*. Economic model predictive control with zone tracking. Mathematics, 6, 19 pages, 2018. PDF
  17. X. Yin, B. Decardi-Nelson and J. Liu*. Subsystem decomposition and distributed moving horizon estimation of wastewater treatment plants. Chemical Engineering Research and Design, 134, 405-419, 2018. PDF
  18. X. Yin and J. Liu*. State estimation of wastewater treatment plants based on model approximation. Computers & Chemical Engineering, 111:79-91, 2018. PDF
  19. M. Rashedi, O. Xu, S. Kwak, S. Sedghi, J. Liu and B. Huang*. An integrated first principle modeling to steam assisted gravity drainage (SAGD). Journal of Petroleum Science and Engineering, 163:501-510, 2018. PDF
  20. M. Rashedi, J. Liu and B. Huang*. Triggered communication in distributed adaptive high-gain EKF. IEEE Transactions on Industrial Informatics, 14:58-68, 2018. PDF
  21. B. Hassanzadeh*, J. Liu and J. F. Forbes. A bi-level optimization approach to coordination of distributed model predictive control systems. Industrial & Engineering Chemistry Research, 57:1516-1530, 2018. PDF
  22. T. An, X. Yin, J. Liu* and J. F. Forbes. Coordinated distributed moving horizon state estimation for linear systems based on prediction-driven method. Canadian Journal of Chemical Engineering, 95:1953-1967, 2017. PDF
  23. X. Yin and J. Liu*. Distributed output-feedback fault detection and isolation of cascade process networks. AIChE Journal, 63:4329-4342, 2017. PDF
  24. K. Arulmaran and J. Liu*. Handling model plant mismatch in state estimation using a multiple model based approach. Industrial & Engineering Chemistry Research, 56:5339-5351, 2017. PDF
  25. M. Rashedi, J. Liu and B. Huang*. Distributed adaptive high-gain extended Kalman filtering for nonlinear systems. International Journal of Robust and Nonlinear Control, 27:4873-4902, 2017. PDF
  26. X. Yin and J. Liu*. Distributed moving horizon state estimation of two-time-scale nonlinear systems. Automatica, 79:152-161, 2017. PDF
  27. X. Yin and J. Liu*. Input-output paring accounting for both structure and strength in coupling. AIChE Journal, 63:1226-1235, 2017. PDF
  28. B. Hassanzadeh*, P. Hallas, J. Liu and J. F. Forbes. Distributed model predictive control of nonlinear systems based on price-driven coordination. Industrial & Engineering Chemistry Research, 55:9711-9724, 2016. PDF
  29. J. Zeng, J. Liu*, T. Zou and D. Yuan. Distributed extended Kalman filtering for wastewater treatment processes. Industrial & Engineering Chemistry Research, 55:7720-7729, 2016. PDF
  30. S. Liu and J. Liu*. Economic model predictive control with extended horizon. Automatica, 73:180-192, 2016. PDF
  31. M. Rashedi, J. Liu and B. Huang*. Communication delays and data losses in distributed adaptive high-gain EKF. AIChE Journal, 62:4321-4333, 2016. PDF
  32. X. Yin, K. Arulmaran, J. Liu* and J. Zeng. Subsystem decomposition and configuration for distributed state estimation. AIChE Journal, 62:1995-2003, 2016. PDF
  33. J. Zhang, X. Yin and J. Liu*. Economic MPC of deep cone thickeners in coal beneficiation. Canadian Journal of Chemical Engineering, 94:498-505, 2016. PDF
  34. C. Zheng, M. J. Tippett, J. Bao* and J. Liu. Dissipativity-based distributed model predictive control with low rate communication. AIChE Journal, 61:3288-3303, 2015. PDF
  35. J. Zeng and J. Liu*. Economic model predictive control of wastewater treatment processes. Industrial & Engineering Chemistry Research, 54:5710-5721, 2015. PDF
  36. O. Xu*, J. Liu, Y. Fu and X. Chen. Dual updating strategy for moving-window partial least-squares based on model performance assessment. Industrial & Engineering Chemistry Research, 54:5273-5284, 2015. PDF
  37. S. Liu, J. Zhang and J. Liu*. Economic MPC with terminal cost and application to an oilsand primary separation vessel. Chemical Engineering Science, 136:27-37, 2015. PDF
  38. J. Zeng and J. Liu*. Distributed moving horizon state estimation: Simultaneously handling communication delays and data losses. Systems & Control Letters, 75:56-68, 2015. PDF
  39. S. Liu and J. Liu*. Distributed Lyapunov-based model predictive control with neighbor-to-neighbor communication. AIChE Journal, 60:4124-4133, 2014. PDF
  40. J. Zhang, S. Liu and J. Liu*. Economic model predictive control with triggered evaluations: state and output feedback. Journal of Process Control, 24:1197-1206, 2014. PDF
  41. J. Zhang and J. Liu*. Observer-enhanced distributed moving horizon state estimation subject to communication delays. Journal of Process Control, 24:672-686, 2014. PDF
  42. M. Ellis, J. Zhang, J. Liu and P. D. Christofides*. Robust moving horizon estimation based output feedback economic model predictive control. Systems & Control Letters, 68:101-109, 2014. PDF
  43. J. Zhang and J. Liu*. Two triggered information transmission algorithms for distributed moving horizon state estimation. Systems & Control Letters, 65:1-12, 2014. PDF
  44. S. Liu, J. Liu*, Y. Feng, and G. Rong*. Performance assessment of decentralized control systems: An iterative approach. Control Engineering Practice, 22:252-263, 2014. PDF
  45. J. Zhang and J. Liu*. Distributed moving horizon state estimation for nonlinear systems with bounded uncertainties. Journal of Process Control, 23:1281-1295, 2013. PDF
  46. J. Zhang and J. Liu*. Lyapunov-based MPC with robust moving horizon estimation and its triggered implementation. AIChE Journal, 59:4273-4286, 2013. PDF
  47. S. Liu, J. Zhang, J. Liu*, Y. Feng, and G. Rong. Distributed model predictive control with asynchronous controller evaluations. Canadian Journal of Chemical Engineering, 91:1609-1620, 2013. PDF
  48. J. Liu*. Moving horizon state estimation for nonlinear systems with bounded uncertainties. Chemical Engineering Science, 93:376-386, 2013. PDF
  49. M. Heidarinejad, J. Liu, and P. D. Christofides*. Algorithms for improved fixed-time performance of Lyapunov-based economic model predictive control of nonlinear systems. Journal of Process Control, 23:404-414, 2013. PDF
  50. P. D. Christofides*, R. Scattolini, D. Munoz de la Pena, and J. Liu. Distributed model predictive control: A tutorial review and future research directions. Computers & Chemical Engineering, 51:21-41, 2013. PDF
  51. W. Qi, J. Liu, and P. D. Christofides*. Distributed supervisory predictive control of distributed wind and solar energy generation systems. IEEE Transactions on Control System Technology, 21:504-512, 2013.
  52. M. Heidarinejad, J. Liu, and P. D. Christofides*. Distributed model predictive control of switched nonlinear systems with scheduled mode transitions. AIChE Journal, 59:860-871, 2013. PDF
  53. M. Heidarinejad, J. Liu, and P. D. Christofides*. Economic model predictive control of switched nonlinear systems. Systems & Control Letters, 62:77-84, 2013. PDF
  54. M. Heidarinejad, J. Liu, and P. D. Christofides*. State estimation-based economic model predictive control of nonlinear systems. Systems & Control Letters, 61:926-935, 2012. PDF
  55. D. Chilin, J. Liu, X. Chen, and P. D. Christofides*. Fault detection and isolation and fault tolerant control of a catalytic alkylation of benzene process. Chemical Engineering Science, 78:155-166, 2012.
  56. X. Chen, M. Heidarinejad, J. Liu, and P. D. Christofides*. Distributed economic MPC: Application to a nonlinear chemical process network. Journal of Process Control, 22:689-699, 2012.
  57. X. Chen, M. Heidarinejad, J. Liu, and P. D. Christofides*. Composite fast-slow MPC design for nonlinear singularly perturbed systems. AIChE Journal, 58:1802-1811, 2012.
  58. A. Leosirikul, D. Chilin, J. Liu, J. F. Davis, and P. D. Christofides*. Monitoring and retuning of low-level PID control loops. Chemical Engineering Science, 69:287-295, 2012.
  59. M. Heidarinejad, J. Liu, and P. D. Christofides*. Economic model predictive control of nonlinear process systems using lyapunov techniques. AIChE Journal, 58:855-870, 2012.
  60. D. Chilin, J. Liu, J. F. Davis, and P. D. Christofides*. Data-based monitoring and reconfiguration of a distributed model predictive control system. International Journal of Robust and Nonlinear Control, 22:68-88, 2012.
  61. W. Qi, J. Liu, and P. D. Christofides*. Supervisory predictive control for long-term scheduling of an integrated wind/solar energy generation and water desalination system. IEEE Transactions on Control Systems Technology, 20:504-512, 2012.
  62. J. Liu, X. Chen, D. Munoz de la Pena, and P. D. Christofides*. Iterative distributed model predictive control of nonlinear systems: Handling asynchronous, delayed measurements. IEEE Transactions on Automatic Control, 57:528-534, 2012.
  63. X. Chen, M. Heidarinejad, J. Liu, D. Munoz de la Pena, and P. D. Christofides*. Model predictive control of nonlinear singularly perturbed systems: Application to a large-scale process network. Journal of Process Control, 21:1296-1305, 2011.
  64. W. Qi, J. Liu, and P. D. Christofides*. A distributed control framework for smart grid development: Energy/water system optimal operation and electric grid integration. Journal of Process Control, 21:1504-1516, 2011.
  65. M. Heidarinejad, J. Liu, D. Munoz de la Pena, J. F. Davis, and P. D. Christofides*. Handling communication disruptions in distributed model predictive control of nonlinear systems. Journal of Process Control, 21:173-181, 2011.
  66. M. Heidarinejad, J. Liu, D. Munoz de la Pena, P. D. Christofides*, and J. F. Davis. Multirate Lyapunov-based distributed model predictive control of nonlinear uncertain systems. Journal of Process Control, 21:1231{1242, 2011.
  67. W. Qi, J. Liu, X. Chen, and P. D. Christofides*. Supervisory predictive control of stand-alone wind-solar energy generation systems. IEEE Transactions on Control Systems Technology, 19:199-207, 2011.
  68. D. Chilin, J. Liu, D. Munoz de la Pena, P. D. Christofides*, and J. F. Davis. Detection, isolation and handling of actuator faults in distributed model predictive control systems. Journal of Process Control, 20:1059-1075, 2010.
  69. J. Liu, X. Chen, D. Munoz de la Pena, and P. D. Christofides*. Sequential and iterative architectures for distributed model predictive control of nonlinear process systems. AIChE Journal, 56:2137-2149, 2010.
  70. J. Liu, B. J. Ohran, D. Munoz de la Pena, P. D. Christofides*, and J. F. Davis. Monitoring and handling of actuator faults in two-tier control systems for nonlinear processes. Chemical Engineering Science, 65:3179-3190, 2010.
  71. J. Liu, D. Munoz de la Pena, and P. D. Christofides*. Distributed model predictive control of nonlinear systems subject to asynchronous and delayed measurements. Automatica, 46:52-61, 2010.
  72. J. Liu, D. Munoz de la Pena, B. J. Ohran, P. D. Christofides*, and J. F. Davis. A two-tier control architecture for nonlinear process systems with continuous/asynchronous feedback. International Journal of Control, 83:257-272, 2010.
  73. B. Ohran, J. Liu, D. Munoz de la Pena, P. D. Christofides*, and J. F. Davis. Data-based fault detection and isolation using feedback control: Output feedback and optimality. Chemical Engineering Science, 64:2370-2383, 2009.
  74. J. Liu, D. Munoz de la Pena, P. D. Christofides*, and J. F. Davis. Lyapunov-based model predictive control of nonlinear systems subject to time-varying measurement delays. International Journal of Adaptive Control and Signal Processing, 23:788-807, 2009.
  75. J. Liu, D. Munoz de la Pena, and P. D. Christofides*. Distributed model predictive control of nonlinear process systems. AIChE Journal, 55:1171-1184, 2009.
  76. J. Liu, D. Munoz de la Pena, P. D. Christofides*, and J. F. Davis. Lyapunov-based model predictive control of particulate processes subject to asynchronous measurements. Particle and Particle Systems Characterization, 25:360-375, 2008.
  77. J. Liu, D. Munoz de la Pena, B. J. Ohran, P. D. Christofides*, and J. F. Davis. A two-tier architecture for networked process control. Chemical Engineering Science, 63:5394-5409, 2008.
  78. G. Rong*, J. Liu, and H. Gu. Mining dynamic association rules in databases. Control Theory & Applications, 24:127-131, 2007.
  79. J. Liu and G. Rong*. Application of web text mining in study assistance. Information Science, 24:400-404, 2006.

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Book Chapters
  1. J. Liu, D. Munoz de la Pena, and P. D. Christofides. Lyapunov-based DMPC Schemes: Sequential and Iterative Approaches, Chapter 30 of Distributed MPC Made Easy, pages 479-494. Springer-Verlag, Berlin, 2014.
  2. J. Liu, D. Munoz de la Pena, and P. D. Christofides. Distributed Model Predictive Control System Design Using Lyapunov Techniques, volume 384 of Lecture Notes in Control and Information Science, pages 181-194. Springer-Verlag, Berlin, 2009.
  3. J. Liu and G. Rong. Mining Dynamic Association Rules in Databases, volume 3801 of Lecture Notes in Computer Science, pages 688-695. Springer-Verlag, Berlin, 2005.

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Conference Papers (Presenter underlined)
  1. R. Nian, J. Liu, B. Huang and T. Mutasa. Fault-tolerant control system: A reinforcement learning approach. In Proceedings of the SICE Annual Conference, accepted, Hiroshima, Japan, 2019.
  2. Y. Mao, S. Liu, B. Decardi-Nelson and J. Liu. Min-max economic MPC of networked control systems with transmission delays. In Proceedings of the American Control Conference, pages 1164-1169, Philadephia, PA, USA, 2019.
  3. L. Zhang, J. Liu, W. Xie and X. Yin. Robust model predictive control of the cutterhead system in tunnel boring machines. In Proceedings of the 28th International Symposium on Industrial Electronics, pages 2277-2282, Vancouver, Canada, 2019.
  4. G. Yan, J. Liu and B. Huang. MV benchmark for networked control systems with random communication delays. In Proceedings of the 12th IFAC Symposium on Dynamics and Control of Process Systems, pages 970-975, Florianopolis, Brazil, 2019.
  5. S. Liu and J. Liu. Economic model predictive control with zone tracking. In Proceedings of the 6th IFAC Conference on Nonlinear Model Predictive Control, pages 16-21, Madison, WI, USA, 2018.
  6. Y. Xin and J. Liu. State estimation of wastewater treatment plants based on reduced-order model. In Proceedings of the 10th International Symposium on Advanced Control of Chemical Processes, pages 566-571, Shenyang, China, 2018.
  7. Y. Mao, S. Liu, J. Nahar, J. Liu and F. Ding. Regulation of soil moisture using zone model predictive control. In Proceedings of the 10th International Symposium on Advanced Control of Chemical Processes, pages 756-761, Shenyang, China, 2018.
  8. J. McAllister, J. Liu, Z. Li and U. Simonsmeier. Erythropoiesis-stimulating-agent dose optimization for anemia management in chronic kidney disease using recursive constrained modeling and zone model predictive control. In Proceedings of the American Control Conference, pages 2326-2331, Milwaukee, Wisconsin, 2018.
  9. B. Decardi-Nelson, S. Liu and J. Liu. A comparison of economic and tracking model predictive control of a post combustion CO2 capture process. In Proceedings of the American Control Conference, pages 3921-3926, Milwaukee, Wisconsin, 2018.
  10. J. Nahar, J. Liu and S. L. Shah. Observability analysis of an agro-hydrological system. In Proceedings of the Control Conference of Africa, 50-2:110-114, Johannesburg, South Africa, 2017.
  11. S. Liu and J. Liu. A terminal cost for economic model predictive control with local optimality. In Proceedings of the American Control Conference, pages 1954-1959, Seattle, WA, 2017.
  12. X. Yin, J. Zeng and J. Liu. From decentralized to distributed state estimation. In Proceedings of the American Control Conference, pages 1904-1909, Seattle, WA, 2017.
  13. X. Yin and J. Liu. Distributed output feedback fault tolerant detection and isolation for cascade process networks. In Proceedings of the 6th International Symposium on Advanced Control of Industrial Processes, pages 547-552, Taipei, Taiwan, 2017 (Keynote paper).
  14. J. Ren, J. McAllister, Z. Li, J. Liu and U. Simonsmeier. Modeling of hemoglobin response to erythropoietin therapy through constrained optimization. In Proceedings of the 6th International Symposium on Advanced Control of Industrial Processes, pages 245-250, Taipei, Taiwan, 2017.
  15. C. Zheng, J. Bao and J. Liu. Robust control of plantwide chemical processes based on parameter dependent dissipativity. In Proceedings of 2016 Australian Control Conference, pages 305-310, Newcastle, Australia, 2016.
  16. T. An, J. Liu and J. F. Forbes. Coordinated distributed MHE for linear systems. In Proceedings of the 55th IEEE Conference on Decision and Control, pages 105-110, Las Vegas, USA, 2016.
  17. J. Zeng, J. Liu, T. Zou and D. Yuan. State estimation of wastewater treatment processes using distributed extended Kalman filters. In Proceedings of the 55th IEEE Conference on Decision and Control, pages 6721--6726, Las Vegas, USA, 2016.
  18. X. Yin, K. Arulmaran and J. Liu. Subsystem decomposition for distributed state estimation of nonlinear systems. In Proceedings of the American Control Conference, pages 5569-5574, Boston, MA, 2016.
  19. S. Liu and J. Liu. Economic model predictive control for scheduled switching operations. In Proceedings of the American Control Conference, pages 1784-1789, Boston, MA, 2016.
  20. S. Liu, J. Zhang and J. Liu. Economic MPC with terminal cost and application to oilsand separation. In Proceedings of the 9th International Symposium on Advanced Control of Chemical Processes, pages 20-25, Whistler, British Columbia, Canada, 2015.
  21. M. Rashedi, J. Liu and B. Huang. Distributed adaptive high-gain extended Kalman filtering for nonlinear systems. In Proceedings of the 9th International Symposium on Advanced Control of Chemical Processes, pages 158-163, Whistler, British Columbia, Canada, 2015.
  22. M. J. Tippett, C. Zheng, J. Bao and J. Liu. Dissipativity-based analysis of controller networks with reduced rate communication. In Proceedings of the 9th International Symposium on Advanced Control of Chemical Processes, pages 705-710, Whistler, British Columbia, Canada, 2015.
  23. J. Zeng and J. Liu. Distributed moving horizon estimation subject to communication delays and losses. In Proceedings of the American Control Conference, pages 5533-5538, Chicago, IL, 2015.
  24. S. Li, J. Liu and J. F. Forbes. Convergence properties of two coordinated distributed MPC algorithms. In Proceedings of the American Control Conference, pages 5377-5383, Chicago, IL, 2015.
  25. J. Nahar, J. Liu and S. L. Shah. A systems engineering approach for automated irrigation. In Proceedings of the International Conference on Chemical Engineering 2014 (ICChE2014), pages 167-171, Dhaka, Bangladesh, 2014.
  26. B. Hassanzadeh, J. Liu and J. F. Forbes. An analytic price-driven coordination scheme for distributed model predictive control systems. In Proceedings of the 53rd IEEE Conference on Decision and Control, pages 2461-2466, Los Angeles, CA, USA, 2014.
  27. J. Zhang and J. Liu. Distributed moving horizon state estimation with triggered communication. In Proceedings of the American Control Conference, pages 5700-5705, Portland, OR, USA, 2014.
  28. C. Zheng, M. J. Tippett, J. Bao and J. Liu. Multirate dissipativity-based distributed MPC. In Proceedings of the Australian Control Conference, pages 325-330, Perth, Australia, 2013.
  29. J. Liu. Robust moving horizon state estimation for nonlinear systems. In Proceedings of the American Control Conference, pages 253-258, Washington DC, USA, 2013.
  30. S. Liu, J. Liu, Y. Feng, and G. Rong. Achievable performance of decentralized control systems. In Proceedings of the American Control Conference, pages 5817-5822, Washington DC, USA, 2013.
  31. B. Hassanzadeh, H. Pakravesh, J. Liu and J. F. Forbes. Coordinated-distributed MPC of nonlinear systems based on price-driven coordination. In Proceedings of the American Control Conference, pages 3159--3164, Washington DC, USA, 2013.
  32. M. Heidarinejad, J. Liu, and P. D. Christofides. On fixed-time performance of Lyapunov-based economic model predictive control of nonlinear systems. In Proceedings of the American Control Conference, pages 3171--3176, Washington DC, USA, 2013.
  33. M. J. Tippett, J. Bao, and J. Liu. Plant-wide control of chemical systems exhibiting time-scale separation. In Proceedings of CHEMECA 2012, pager 118, Wellington, New Zealand, 2012.
  34. A. Leosirikul, D. Chilin, J. Liu, J. F. Davis, and P. D. Christofides. Monitoring of low-level PID control loops. In Proceedings of the American Control Conference, pages 5664-5669, Montreal, Canada, 2012.
  35. M. Heidarinejad, J. Liu, and P. D. Christofides. Distributed model predictive control of switched nonlinear systems. In Proceedings of the American Control Conference, pages 3198-3203, Montreal, Canada, 2012.
  36. X. Chen, M. Heidarinejad, J. Liu, and P. D. Christofides. Composite fast-slow MPC design for nonlinear singularly perturbed systems: Stability analysis. In Proceedings of the American Control Conference, pages 4136-4141, Montreal, Canada, 2012.
  37. P. D. Christofides, R. Scattolini, D. Munoz de la Pena, and J. Liu. Distributed model predictive control: A tutorial review. In Proceedings of Chemical Process Control-8, 22 pages, Savannah, Georgia, 2012.
  38. X. Chen, M. Heidarinejad, J. Liu, D. Munoz de la Pena, and P. D. Christofides. Model predictive control of nonlinear singularly perturbed systems: Application to a reactor-separator process network. In Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, pages 8125-8132, Orlando, Florida, 2011.
  39. M. Heidarinejad, J. Liu, and P. D. Christofides. Lyapunov-based economic model predictive control of nonlinear systems: Handling asynchronous, delayed measurements and distributed implementation. In Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, pages 4646-4653, Orlando, Florida, 2011.
  40. D. Chilin, J. Liu, J. F. Davis, and P. D. Christofides. Data-based monitoring and reconfiguration of a distributed model predictive control system. In Proceedings of the American Control Conference, pages 3158-3165, San Francisco, California, 2011.
  41. M. Heidarinejad, J. Liu, and P. D. Christofides. Lyapunov-based economic model predictive control of nonlinear systems. In Proceedings of the American Control Conference, pages 5195-5200, San Francisco, California, 2011.
  42. M. Heidarinejad, J. Liu, D. Munoz de la Pena, J. F. Davis, and P. D. Christofides. Multirate distributed model predictive control of nonlinear systems. In Proceedings of the American Control Conference, pages 5181-5188, San Francisco, Califorina, 2011.
  43. W. Qi, J. Liu, and P. D. Christofides. A two-time-scale framework for supervisory predictive control of an integrated wind/solar energy generation and water desalination system. In Proceedings of the American Control Conference, pages 2677-2682, San Francisco, California, 2011.
  44. J. Liu, X. Chen, D. Munoz de la Pena, and P. D. Christofides. Iterative distributed model predictive control of nonlinear systems: Handling delayed measurements. In Proceedings of the 49th IEEE Conference on Decision and Control, pages 7251-7258, Atlanta, Georgia, 2010.
  45. X. Chen, J. Liu, D. Munoz de la Pena, and P. D. Christofides. Sequential and iterative distributed model predictive control of nonlinear process systems subject to asynchronous measurements. In Proceedings of the 9th IFAC Symposium on Dynamics and Control of Process Systems, pages 611-616, Leuven, Belgium, 2010.
  46. M. Heidarinejad, J. Liu, D. Munoz de la Pena, and P. D. Christofides. Handling communication disruptions in distributed model predictive control of nonlinear systems. In Proceedings of the 9th IFAC Symposium on Dynamics and Control of Process Systems, pages 282-287, Leuven, Belgium, 2010.
  47. W. Qi, J. Liu, and P. D. Christofides. Supervisory predictive control of an integrated wind/solar energy generation and water desalination system. In Proceedings of the 9th IFAC Symposium on Dynamics and Control of Process Systems, pages 821-826, Leuven, Belgium, 2010.
  48. D. Chilin, J. Liu, D. Munoz de la Pena, P. D. Christofides, and J. F. Davis. Monitoring and handling of actuator faults in a distributed model predictive control system. In Proceedings of the American Control Conference, pages 2847-2854, Baltimore, Maryland, 2010.
  49. J. Liu, X. Chen, D. Munoz de la Pena, and P. D. Christofides. Sequential and iterative architectures for distributed model predictive control of nonlinear process systems. Part I: Theory. In Proceedings of the American Control Conference, pages 3148-3155, Baltimore, Maryland, 2010.
  50. J. Liu, X. Chen, D. Munoz de la Pena, and P. D. Christofides. Sequential and iterative architectures for distributed model predictive control of nonlinear process systems. Part II: Application to a catalytic alkylation of benzene process. In Proceedings of the American Control Conference, pages 3156-3161, Baltimore, Maryland, 2010.
  51. J. Liu, D. Munoz de la Pena, and P. D. Christofides. Distributed model predictive control of nonlinear systems subject to delayed measurements. In Proceedings of the 48th IEEE Conference on Decision and Control, pages 7105-7112, Shanghai, China, December 2009.
  52. B. Ohran, J. Liu, P. D. Christofides, D. Munoz de la Pena, and J. F. Davis. Networked monitoring and fault-tolerant control of nonlinear process systems. In Proceedings of the 48th IEEE Conference on Decision and Control, pages 4117-4124, Shanghai, China, December 2009.
  53. B. Ohran, J. Liu, P. D. Christofides, D. Munoz de la Pena, and J. F. Davis. Data-based fault detection and isolation using output feedback control. In Proceedings of IFAC International Symposium on Advanced Control of Chemical Processes, paper 107, 6 pages, Instabul, Turkey, 2009.
  54. J. Liu, D. Munoz de la Pena, and P. D. Christofides. Distributed model predictive control of nonlinear process systems using asynchronous measurements. In Proceedings of IFAC International Symposium on Advanced Control of Chemical Processes, paper 111, 6 pages, Istanbul, Turkey, 2009.
  55. J. Liu, D. Munoz de la Pena, and P. D. Christofides. Distributed model predictive control of nonlinear systems with input constraints. In Proceedings of the American Control Conference, pages 2319-2326, St. Louis, Missouri, 2009.
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