Publications

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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.
  3. P. Mhaskar, J. Liu, and P. D. Christofides. Fault-Tolerant Process Control: Methods and Applications. Springer-Verlag, London, England, 2013. (281 pages).
  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).

Journal Articles

(* indicates corresponding author)

  1. B. T. Agyeman, S. Bo, S. R. Sahoo, X. Yin, J. Liu*, and S. L. Shah. Soil moisture map construction using microwave remote sensors and sequential data assimilation, submitted. arXiv
  2. B. Decardi-Nelson and J. Liu*. Computing robust control invariant sets of constrained nonlinear systems: A graph algorithm approach, Computers abd Chemical Engineering, accepted. DOI, arXiv
  3. Q. Guo, T. Pan, J. Liu*, and S. Chen. Explicit model predictive control of PMSM based on multi-point linearization, submitted.
  4. J. Liu, A. Gnanasekar, Y. Zhang, S. Bo, J. Liu*, J. Hu, and T. Zou. Simultaneous state and parameter estimation: the role of sensitivity, submitted. arXiv
  5. X. Yin, S. Bo, J. Liu, and B. Huang*. A consensus-based approach for parameter and state estimation of agro-hydrological systems, AIChE Journal, accepted. DOI, arXiv
  6. S. L. Shah, B. R. Bakshi, J. Liu, C. Georgakis*, B. Chachuat, R. D. Braatz, and B. R. Young. Meeting the challenge of water sustainability: the role of process systems engineering, AIChE Journal, accepted. DOI
  7. X. Luo, J. Xu*, M. Zhang, and J. Liu. Batch to batch optimal control based on MIMO AHH prediction and Kalman filter correction. Optimal Control, Applications and Methods, 41:2048-2061, 2020. DOI
  8. G. Yan, J. Liu*, Y. Alipouri, and B. Huang. Performance assessment of distributed LQG control subject to communication delays. International Journal of Control, accepted. DOI
  9. X. Yin and J. Liu*. Distributed state estimation for a class of nonlinear processes based on high-gain observers. Chemical Engineering Research and Design, 160:20-30, 2020. DOI
  10. R. Nian, J. Liu*, and B. Huang. A review on reinforcement learning: introduction and applications in industrial process control. Computers and Chemical Engineering, 139:106886, 2020. DOI
  11. S. Bo and J. Liu*. A decentralized framework for parameter and state estimation of infiltration processes. Mathematics, 8(5):1-21, 2020. DOI (Control and Optimization: From Complex Process to Systems Engineering Problems special issue)
  12. X. Yin and J. Liu*. Event-triggered state estimation of linear systems using moving horizon estimation. IEEE Transactions on Control Systems Technology, in press. DOI
  13. Y. Mao, S. Liu, and J. Liu*. Robust economic MPC of nonlinear networked control systems with communication delays. International Journal of Adaptive Control and Signal Processing, 34:614-637, 2020. DOI
  14. S. Bo, S. R. Sahoo, X. Yin, J. Liu*, and S. L. Shah. Parameter and state estimation of one-dimensional infiltration processes: A simultaneous approach. Mathematics, 8(1):1-22, 2020. DOI (Mathematics and Engineering special issue)
  15. X. Yin, B. Decardi-Nelson, and J. Liu*. Distributed monitoring of the absorption column of a post-combustion CO2 capture plant. International Journal of Adaptive Control and Signal Processing, 34:757-776, 2020. DOI (Moving Horizon Estimation and New Application Perspectives special issue)
  16. Y. Zhang, B. Decardi-Nelson, Jianbang Liu, J. Shen*, and J. Liu*. Zone economic model predictive control of a coal-fired boiler-turbine generating system. Chemical Engineering Research and Design, 153:246-256, 2020. DOI
  17. A. Zhang and J. Liu*. Economic MPC of wastewater treatment plants based on model reduction. Processes, 7, 21 pages, 2019. DOI (Design and Control of Sustainable Systems special issue)
  18. S. R. Sahoo, X. Yin, and J. Liu*. Optimal sensor placement for agro-hydrological systems. AIChE Journal, 65:1-18, 2019. DOI (Futures issue)
  19. L. Zhang, X. Yin, and J. Liu*. Complex system decomposition for distributed state estimation based on weighted graph. Chemical Engineering Research and Design, 151:10-22, 2019. DOI
  20. S. A. Hussain*, R. K. K. Yuen, J. Liu, and J. Wang. Adaptive modeling for reliability in optimal control of complex HVAC systems. Building Simulation, 12 pages, 2019. DOI
  21. J. Nahar, S. Liu, J. Liu*, and S. L. Shah. Improved storm water management through irrigation rescheduling for city parks. Control Engineering Practice, 87:111-121, 2019. DOI
  22. J. Nahar, S. Liu, Y. Mao, J. Liu*, and S. L. Shah. Closed-loop scheduling and control for precision irrigation. Industrial & Engineering Chemistry Research, 58:11485-11497, 2019. DOI (Sirish Shah Festschrift special issue)
  23. S. Liu, Y. Mao, and J. Liu*. Model predictive control with generalized zone tracking. IEEE Transactions on Automatic Control, 64:4698-4704, 2019. DOI
  24. X. Yin, J. Zeng, and J. Liu*. Forming distributed state estimation network from decentralized estimators. IEEE Transactions on Control Systems Technology, 27:2430-2443, 2019. DOI
  25. 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. DOI
  26. 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. DOI
  27. 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. DOI
  28. X. Yin and J. Liu*. Subsystem decomposition of process networks for simultaneous distributed state estimation and control. AIChE Journal, 65:904-914, 2019. DOI
  29. 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. DOI
  30. 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. DOI
  31. Y. Mao, S. Liu, J. Nahar, J. Liu*, and F. Ding. Soil moisture regulation of agro-hydrological systems using zone model predictive control. Computers and Electronics in Agriculture, 154:239-247, 2018. DOI
  32. 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. https://doi.org/10.3390/pr6090135 (Modeling and Simulation of Energy Systems special issue)
  33. 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. http://dx.doi.org/10.1002/acs.2913
  34. 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. https://doi.org/10.3390/pr6050060 (Modeling & Control of Disease States special issue)
  35. S. Liu and J. Liu*. Economic model predictive control with zone tracking. Mathematics, 6, 19 pages, 2018. https://doi.org/10.3390/math6050065 (New Directions on Model Predictive Control special issue)
  36. 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. https://doi.org/10.1016/j.cherd.2018.04.032
  37. X. Yin and J. Liu*. State estimation of wastewater treatment plants based on model approximation. Computers & Chemical Engineering, 111:79-91, 2018. https://doi.org/10.1016/j.compchemeng.2018.01.003
  38. 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. https://doi.org/10.1016/j.petrol.2018.01.005
  39. M. Rashedi, J. Liu and B. Huang*. Triggered communication in distributed adaptive high-gain EKF. IEEE Transactions on Industrial Informatics, 14:58-68, 2018. http://dx.doi.org/10.1109/TII.2017.2715340
  40. 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. http://pubs.acs.org/doi/abs/10.1021/acs.iecr.7b02414
  41. 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. http://dx.doi.org/10.1002/cjce.22917
  42. X. Yin and J. Liu*. Distributed output-feedback fault detection and isolation of cascade process networks. AIChE Journal, 63:4329-4342, 2017. http://dx.doi.org/10.1002/aic.15791
  43. 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. http://pubs.acs.org/doi/abs/10.1021/acs.iecr.7b00234
  44. 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. http://onlinelibrary.wiley.com/doi/10.1002/rnc.3838/full
  45. X. Yin and J. Liu*. Distributed moving horizon state estimation of two-time-scale nonlinear systems. Automatica, 79:152-161, 2017. http://www.sciencedirect.com/science/article/pii/S000510981730033X
  46. X. Yin and J. Liu*. Input-output pairing accounting for both structure and strength in coupling. AIChE Journal, 63:1226-1235, 2017. http://dx.doi.org/10.1002/aic.15511 (Identified as the Best Presentation in the session Advances in Process Control of the 2016 AIChE Annual Meeting)
  47. 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. http://dx.doi.org/10.1021/acs.iecr.6b01862
  48. 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. http://dx.doi.org/10.1021/acs.iecr.6b00529
  49. S. Liu and J. Liu*. Economic model predictive control with extended horizon. Automatica, 73:180-192, 2016. http://www.sciencedirect.com/science/article/pii/S0005109816302540
  50. M. Rashedi, J. Liu and B. Huang*. Communication delays and data losses in distributed adaptive high-gain EKF. AIChE Journal, 62:4321-4333, 2016. http://dx.doi.org/10.1002/aic.15351
  51. X. Yin, K. Arulmaran, J. Liu* and J. Zeng. Subsystem decomposition and configuration for distributed state estimation. AIChE Journal, 62:1995-2003, 2016. http://dx.doi.org/10.1002/aic.15170
  52. 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. http://dx.doi.org/10.1002/cjce.22419
  53. 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. http://dx.doi.org/10.1002/aic.14899
  54. J. Zeng and J. Liu*. Economic model predictive control of wastewater treatment processes. Industrial & Engineering Chemistry Research, 54:5710-5721, 2015. http://dx.doi.org/10.1021/ie504995n
  55. 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. http://dx.doi.org/10.1021/ie503783p
  56. 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. http://dx.doi.org/10.1016/j.ces.2015.01.041
  57. J. Zeng and J. Liu*. Distributed moving horizon state estimation: Simultaneously handling communication delays and data losses. Systems & Control Letters, 75:56-68, 2015. http://dx.doi.org/10.1016/j.sysconle.2014.11.007
  58. S. Liu and J. Liu*. Distributed Lyapunov-based model predictive control with neighbor-to-neighbor communication. AIChE Journal, 60:4124-4133, 2014. http://onlinelibrary.wiley.com/doi/10.1002/aic.14579/pdf
  59. 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. http://dx.doi.org/10.1016/j.jprocont.2014.03.009
  60. J. Zhang and J. Liu*. Observer-enhanced distributed moving horizon state estimation subject to communication delays. Journal of Process Control, 24:672-686, 2014. http://dx.doi.org/10.1016/j.jprocont.2014.03.012
  61. 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. http://dx.doi.org/10.1016/j.sysconle.2014.03.003
  62. J. Zhang and J. Liu*. Two triggered information transmission algorithms for distributed moving horizon state estimation. Systems & Control Letters, 65:1-12, 2014. http://dx.doi.org/10.1016/j.sysconle.2013.12.003
  63. 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. http://dx.doi.org/10.1016/j.conengprac.2012.10.003
  64. J. Zhang and J. Liu*. Distributed moving horizon state estimation for nonlinear systems with bounded uncertainties. Journal of Process Control, 23:1281-1295, 2013. http://dx.doi.org/10.1016/j.jprocont.2013.08.005
  65. J. Zhang and J. Liu*. Lyapunov-based MPC with robust moving horizon estimation and its triggered implementation. AIChE Journal, 59:4273-4286, 2013. http://dx.doi.org/10.1002/aic.14187
  66. 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. http://dx.doi.org/10.1002/cjce.21840
  67. J. Liu*. Moving horizon state estimation for nonlinear systems with bounded uncertainties. Chemical Engineering Science, 93:376-386, 2013. http://dx.doi.org/10.1016/j.ces.2013.02.030
  68. 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. http://dx.doi.org/10.1016/j.jprocont.2012.11.003
  69. 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. http://dx.doi.org/10.1016/j.compchemeng.2012.05.011
  70. 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.
  71. 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. http://dx.doi.org/10.1002/aic.14003
  72. M. Heidarinejad, J. Liu, and P. D. Christofides*. Economic model predictive control of switched nonlinear systems. Systems & Control Letters, 62:77-84, 2013. http://dx.doi.org/10.1016/j.sysconle.2012.11.002
  73. 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. http://dx.doi.org/10.1016/j.sysconle.2012.06.007
  74. 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.
  75. 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.
  76. 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.
  77. 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.
  78. 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.
  79. 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.
  80. 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.
  81. 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.
  82. 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.
  83. 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.
  84. 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.
  85. 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.
  86. 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.
  87. 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.
  88. 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.
  89. 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.
  90. 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.
  91. 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.
  92. 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.
  93. 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.
  94. 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.
  95. 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.
  96. 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.
  97. G. Rong*, J. Liu, and H. Gu. Mining dynamic association rules in databases. Control Theory & Applications, 24:127-131, 2007.
  98. 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.

Conference Papers

(Presenter underlined)

  1. S. R. Sahoo, X. Yin, J. Liu*, and S. L. Shah. Dynamic model reduction and optimal sensor placement for agro-hydrological systems. In Proceedings of IFAC World Congress, accepted, Berlin, Germany, 2020.
  2. S. Bo, S. R. Sahoo, X. Yin, J. Liu*, and S. L. Shah. Simultaneous parameter and state estimation of agro-hydrological systems. In Proceedings of IFAC World Congress, accepted, Berlin, Germany, 2020.
  3. R. Nian, J. Liu, B. Huang and T. Mutasa. Fault-tolerant control system: A reinforcement learning approach. In Proceedings of the SICE Annual Conference, pages 1010-1015, Hiroshima, Japan, 2019.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. X. Yin 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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).
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
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