APMonitor

The APMonitor Optimization Suite and GEKKO Optimization Suite are used in academic research and industrial applications.

If you would like to cite APMonitor or GEKKO in your work, please use the following references:

• Hedengren, J. D. and Asgharzadeh Shishavan, R., Powell, K.M., and Edgar, T.F., Nonlinear Modeling, Estimation and Predictive Control in APMonitor, Computers and Chemical Engineering, Volume 70, pg. 133–148, 2014, doi: 10.1016/j.compchemeng.2014.04.013. Article - Preprint - BibTeX - RIS - Google Scholar Citations
• Beal, L.D.R., Hill, D., Martin, R.A., and Hedengren, J. D., GEKKO Optimization Suite, Processes, Volume 6, Number 8, 2018, doi: 10.3390/pr6080106. Article (Open Access) - BibTeX - RIS - Documentation
• Gunnell, L., Manwaring, K., Lu, X., Reynolds, J., Vienna, J., Hedengren, J.D., Machine Learning with Gradient-based Optimization of Nuclear Waste Vitrification with Uncertainties and Constraints, Processes, 10(11), 2365, Nov 2022, DOI: 10.3390/pr10112365. Article (Open Access) - Documentation

BibTeX Entries to Cite APMonitor and Gekko

The GEKKO Optimization Suite paper was selected as a 2020 Best Paper by the journal Processes. This is one out of about 1500 papers published by the journal that are awarded based on metrics for impact and citations.

There are many applications of model predictive control and optimization with Gekko. One example is nonlinear Model Predictive Control (MPC) for 💦 water recovery in tailings reprocessing in South Africa.

There is a 27% decrease in variability and 5% increase in water recovery. Read the full report in the recently published article (2023):

• Burchell, J.J., le Roux, J.D., Craig, I.K., Nonlinear model predictive control for improved water recovery and throughput stability for tailings reprocessing, Control Engineering Practice, Volume 131, 2023, 105385, ISSN 0967-0661, DOI: 10.1016/j.conengprac.2022.105385. Article

Additional algorithmic improvements and applications of APMonitor or GEKKO (Python interface) are listed below by year. If you have a paper to highlight in the list, please send an e-mail to support@apmonitor.com.

2020+

The number of references has grown rapidly. Please use the links below to find recent (2020+) references for citations to the APMonitor and Gekko papers.

• Recent APMonitor References from Google Scholar
• Recent Gekko References from Google Scholar

1. Park, J., Martin, R.A., Kelly, J.D., Hedengren, J.D., Benchmark Temperature Microcontroller for Process Dynamics and Control, Computers & Chemical Engineering, Special Issue in Honor of Thomas F. Edgar, 135, 6 April 2020. Preprint | Article

2019

1. Simmons, C., Arment, J., Powell, K.M., Hedengren, J.D., Proactive Energy Optimization in Residential Buildings with Weather and Market Forecasts, Processes, MDPI, 7 (12), 929, doi: 10.3390/pr7120929, 2019. Abstract | Article (Open Access)
2. Martin, R.A., Gates, N.S., Ning, A. and Hedengren, J.D., 2018. Dynamic Optimization of High-Altitude Solar Aircraft Trajectories Under Station-Keeping Constraints. Journal of Guidance, Control, and Dynamics, 42(3), pp.538-552. Article
3. Zia, M.F., Elbouchikhi, E., Benbouzid, M. and Guerrero, J.M., 2019. Energy management system for an islanded microgrid with convex relaxation. IEEE Transactions on Industry Applications, 55(6), pp.7175-7185.
4. Zia, M.F., Elbouchikhi, E. and Benbouzid, M.E.H., 2019, August. An energy management system for hybrid energy sources-based stand-alone marine microgrid. In IOP Conference Series: Earth and Environmental Science (Vol. 322, No. 1, p. 012001). IOP Publishing. Article
5. Werven, J., 2019. Spring Damper based Platoon Control for Merging Cars (Bachelor's thesis, University of Twente). Thesis
6. Almeida, L., Duprez, M., Privat, Y. and Vauchelet, N., 2019. Mosquito population control strategies for fighting against arboviruses. Mathematical biosciences and engineering: MBE, 16(6), pp.6274-6297. Article
7. Cañete, A., 2019, September. Energy efficient assignment and deployment of tasks in structurally variable infrastructures. In Proceedings of the 23rd International Systems and Software Product Line Conference-Volume B (p. 94). ACM.
8. Jackson, R., 2019. Modeling of Mammalian Cell Culture (Doctoral dissertation, Illinois Institute of Technology). Dissertation
9. Kopei, V.B., Onysko, O.R. and Panchuk, V.G., 2019. Component-oriented acausal modeling of the dynamical systems in Python language on the example of the model of the sucker rod string. PeerJ PrePrints, 7, p.e27612v1.
10. Faizi, M., Steuer, R., Optimal proteome allocation strategies for phototrophic growth in a light-limited chemostat, Microbial cell factories, Springer, 2019. Source Code | Article
11. Mendis, P., Wickramasinghe, C., Narayana, M. and Bayer, C., 2019, July. Adaptive model predictive control with successive linearization for distillate composition control in batch distillation. In 2019 Moratuwa Engineering Research Conference (MERCon) (pp. 366-369). IEEE.
12. Ayday, E., Yilmaz, E. and Yilmaz, A., 2019. Robust Optimization-Based Watermarking Scheme for Sequential Data. In 22nd International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2019) (pp. 323-336).
13. Atia, A.A. and Fthenakis, V., 2019. Active-salinity-control reverse osmosis desalination as a flexible load resource. Desalination, 468, p.114062.
14. Yang, J., Luo, J., Wang, J. and Guo, S., 2019. CMU-VP: Cooperative Multicast and Unicast With Viewport Prediction for VR Video Streaming in 5G H-CRAN. IEEE Access, 7, pp.134187-134197. Article
15. Wickramasinghe, D.G.C., Narayana, M. and Witharana, S., 2019, March. Optimization of Process Parameters for Organic Municipal Solid Waste Torrefaction. In 2019 Advances in Science and Engineering Technology International Conferences (ASET) (pp. 1-5). IEEE.
16. Luo, W., Wang, L., Zhang, R. and Gao, F., 2019. 2D Switched Model-based Infinite Horizon LQ Fault-tolerant Tracking Control for Batch Process. Industrial & Engineering Chemistry Research.
17. Safdarnejad, S.M., Tuttle, J.F. and Powell, K.M., 2019. Development of a roadmap for dynamic process intensification by using a dynamic, data-driven optimization approach. Chemical Engineering and Processing-Process Intensification, 140, pp.100-113.
18. Yaqoob, M., Loo, K.H., Chan, Y.P. and Jatskevich, J., 2019. Optimal Modulation for a Fifth-Order Dual-Active-Bridge Resonant Immittance DC–DC Converter. IEEE Transactions on Power Electronics, 35(1), pp.70-82.
19. Luna, R., Matias-Guiu, P., López, F. and Pérez-Correa, J.R., 2019. Quality aroma improvement of Muscat wine spirits: A new approach using first-principles model-based design and multi-objective dynamic optimisation through multi-variable analysis techniques. Food and Bioproducts Processing, 115, pp.208-222.
20. Tabares-Velasco, P.C., Speake, A., Harris, M., Newman, A., Vincent, T. and Lanahan, M., 2019. A modeling framework for optimization-based control of a residential building thermostat for time-of-use pricing. Applied Energy, 242, pp.1346-1357.
21. Śladowski, G., Szewczyk, B., Sroka, B. and Radziszewska-Zielina, E., 2019. Using Stochastic Decision Networks to Assess Costs and Completion Times of Refurbishment Work in Construction. Symmetry, 11(3), p.398. Article
22. Tomáš, Z., Marjan, F., Loureiro, C., Gereon, P., Kai, S., Sinetova, M., Zorina, A., Ralf, S. and Červený, J., 2019. Quantitative insights into the cyanobacterial cell economy. eLife, 8. Article
23. Neto, A.A., Secchi, A.R. and Melo, P.A., 2019. Direct computation of Hopf bifurcation points in differential-algebraic equations. Computers & Chemical Engineering, 121, pp.639-645.
24. Fahad Zia, M., Elbouchikhi E., Benbouzid, M., Optimal operational planning of scalable DC microgrid with demand response, islanding, and battery degradation cost considerations, Applied Energy, 237, 1 March 2019, 695-707. Article
25. Hansen, B., Tolbert, B., Vernon, C., Hedengren, J.D., Model Predictive Automatic Control of Sucker Rod Pump System with Simulation Case Study, Computers & Chemical Engineering, 121, pp. 263-284, 2019. Article | Source Code
26. Park, J., Hansen, B., Gates, N., Darby, M., Hedengren, J.D., Use of Nonlinear and Machine Learning Techniques for Improved APC Modeling, AIChE Spring Meeting, New Orleans, LA, April 2019. Abstract
27. Park, J., Patterson, C., Kelly, J., Hedengren, J.D., Closed-Loop PID Re-Tuning in a Digital Twin By Re-Playing Past Setpoint and Load Disturbance Data, AIChE Spring Meeting, New Orleans, LA, April 2019. Abstract
28. Gates, N.S., Moore, K.R., Ning, A., Hedengren, J.D., Combined Trajectory, Propulsion and Battery Mass Optimization for Solar-Regenerative High-Altitude Long Endurance Unmanned Aircraft, AIAA Science and Technology Forum (SciTech), 2019.

2018

1. Beal, L.D.R., Hill, D., Martin, R.A., and Hedengren, J. D., GEKKO Optimization Suite, Processes, Volume 6, Number 8, 2018, doi: 10.3390/pr6080106. Article - BibTeX - RIS
2. Misra, S., Gudi, R.D., Integration of Scheduling & Control for Sequential Batch Processes: An Iterative Approach, IFAC, 51, 1, pp. 84-89, doi:10.1016/j.ifacol.2018.05.015, 2018. Article
3. DeFigueiredo, B., Zimmerman, T., Russell, B., Howell, L.L., Regional Stiffness Reduction Using Lamina Emergent Torsional Joints for Flexible Printed Circuit Board Design, Journal of Electronic Packaging, doi:10.1115/1.4040552, 2018. Article
4. Valderrama, F., Ruiz, F., An optimal control approach to steam distillation of essential oils from aromatic plants, Computers & Chemical Engineering, 2018. Article
5. Beal, L.D., Petersen, D., Grimsman, D., Warnick, S., Hedengren, J.D., Integrated Scheduling and Control in Discrete-time with Dynamic Parameters and Constraints, Computers & Chemical Engineering, 2018. Article
6. Hedengren, J.D., Beal, L., Special Issue: Combined Scheduling and Control, Processes, 6(3), 24, doi: 10.3390/pr6030024, 2018. Editorial and Special Issue
7. Hedengren, J.D., Brower, D.V., Wilson J.C., High, G., Witherow, K., New Flow Assurance System With High Speed Subsea Fiber Optic Monitoring Of Pressure And Temperature, Symposium 4 Pipelines, Risers, and Subsea Systems, ASME 37th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2018/78079, Madrid, Spain, June 2018.
8. Irurzun-Arana, I., Janda, A., Ardanza-Trevijano, S., Trocóniz, I.F., Optimal dynamic control approach in a multi-objective therapeutic scenario: Application to drug delivery in the treatment of prostate cancer, PLOS Computational Biology, doi:10.1371/journal.pcbi.1006087, 2018. Article

2017

1. Beal, L.D., Petersen D., Pila G., Davis, B., Warnick, S., and Hedengren, J.D., Economic Benefit from Progressive Integration of Scheduling and Control for Continuous Chemical Processes, Processes, 5(4), 84, doi:10.3390/pr5040084, 2017. Article (Open Access)
2. Petersen, D., Beal, L.D., Prestwich D., Warnick, S., and Hedengren, J. D., Combined Noncyclic Scheduling and Advanced Control for Continuous Chemical Processes, Processes, 2017, Processes, 5(4), 83, doi:10.3390/pr5040083, 2017. Article (Open Access)
3. Sayed, K., Telmer, C.A., Butchy, A.A. and Miskov-Zivanov, N., Recipes for Translating Big Data Machine Reading to Executable Cellular Signaling Models, 2017. arXiv:1706.04117.
4. Taysom, S., Hedengren, J.D., Sorensen, C., A Comparison of Model Predictive Control and PID Temperature Control in Friction Stir Welding, Journal of Manufacturing Processes, 29, pp. 232-241, 2017, doi: 10.1016/j.jmapro.2017.07.015. Article
5. Udy, J., Hansen, B., Maddux, S., Peterson, D., Heilner, S., Stevens, K., Lignell, D., Hedengren, J.D., Review of Field Development Optimization of Waterflooding, EOR, and Well Placement Focusing on History Matching and Optimization Algorithms, Processes, 5(3), 34, 2017, doi:10.3390/pr5030034. Article (Open Access)
6. Hedengren, J. D., Eaton, A. N., Overview of Estimation Methods for Industrial Dynamic Systems, Optimization and Engineering, Springer, Vol 18 (1), 2017, pp. 155-178, DOI: 10.1007/s11081-015-9295-9. Article
7. Park, J., Webber, T.R., Asgharzadeh Shishavan, R., Hedengren, J., Improved Bottomhole Pressure Control with Wired Drillpipe and Physics-Based Models, SPE-184610-MS, SPE/IADC Drilling Conference and Exhibition, The Hague, The Netherlands, 14-16 March 2017. Paper
8. Hajizadeh, I., Rashid, M., Turksoy, K., Samadi, S., Feng, J., Frantz, N., Sevil, M., Cengiz, E., Cinar, A., Plasma Insulin Estimation in People with Type 1 Diabetes Mellitus, Industrial & Engineering Chemistry Research, 2017, 56 (35), pp. 9846-9857, doi: 10.1021/acs.iecr.7b01618. Article
9. Afram, A., Janabi-Sharifi, F., Supervisory model predictive controller (MPC) for residential HVAC systems: Implementation and experimentation on archetype sustainable house in Toronto, 2017, 154, pp. 268-282, doi: 10.1016/j.enbuild.2017.08.060. Article
10. Beal, L., Park, J., Petersen, D., Warnick, S., Hedengren, J.D., Combined Model Predictive Control and Scheduling with Dominant Time Constant Compensation, 2017, doi: 10.1016/j.compchemeng.2017.04.024. Article
11. Mojica, J.L., Petersen, D.J., Hansen, B., Powell, K.M., Hedengren, J.D., Optimal Combined Long-Term Facility Design and Short-Term Operational Strategy for CHP Capacity Investments, Energy, Vol 118, 1 January 2017, pp. 97–115. Article
12. Eaton, A.N., Beal, L., Thorpe, S., Hubbell, C., Hedengren, J.D., Nybø, R., Aghito, M., Real Time Model Identification Using Multi-Fidelity Models in Managed Pressure Drilling, Computers and Chemical Engineering, Vol 97, 2 February 2017, pp. 76–84, doi:10.1016/j.compchemeng.2016.11.008. Article
13. Udy, J., Blackburn, L., Hedengren, J.D., Darby, M., Reduced Order Modeling for Reservoir Injection Optimization and Forecasting, FOCAPO / CPC 2017, Tuscon, AZ, Jan 2017.
14. Park, J., Webber, T.R., Asgharzadeh Shishavan, R., Hedengren, J., Improved Bottomhole Pressure Control with Wired Drillpipe and Physics-Based Models, SPE-184610-MS, SPE/IADC Drilling Conference and Exhibition, The Hague, The Netherlands, 14-16 March 2017. Article

2016

1. Ebrahimzadeh, E., Wilding, P., Frankman, D., Fazlollahi, F., Baxter, L.L., Theoretical and experimental analysis of dynamic plate heat exchanger: Non-retrofit configuration, Applied Thermal Engineering, Volume 93, 25 January 2016, Pages 1006-1019, ISSN 1359-4311, doi:10.1016/j.applthermaleng.2015.10.017. Article
2. Powell, K.M., Kim, J.S., Kapoor, K., Mojica, J.L., Hedengren, J.D., and Edgar, T.F., Thermal Energy Storage to Minimize Cost and Improve Efficiency of a Polygeneration District Energy System in a Real-time Electricity Market, Energy, 113, 52–63, 2016, doi:10.1016/j.energy.2016.07.009. Article
3. Taysom, S., Hedengren, J.D., Sorensen, C., Dynamic Modeling of Friction Stir Welding for Model Predictive Control, Journal of Manufacturing Processes, 23, 165-174, 2016, doi:10.1016/j.jmapro.2016.06.004. Article
4. Safdarnejad, S.M., Hedengren, J.D., Baxter, L.L, Dynamic Optimization of a Hybrid System of Energy-Storing Cryogenic Carbon Capture and a Baseline Power Generation Unit Applied Energy, Applied Energy Journal, 172 (15), 66–79, June 2016, doi:10.1016/j.apenergy.2016.03.074. Article
5. Powell, K. M., Eaton, A. N., Hedengren, J. D., Edgar, T. F., A Continuous Formulation for Logical Decisions in Differential Algebraic Systems using Mathematical Programs of Complementarity Constraints, Processes, 2016, 4(1), 7; doi:10.3390/pr4010007. Article
6. Safdarnejad, S. M., Gallacher, J. R., Hedengren, J. D., Dynamic Parameter Estimation and Optimization for Batch Distillation, Computers & Chemical Engineering, Vol. 86, pp. 18–32, 2016, DOI: 10.1016/j.compchemeng.2015.12.001. Article
7. Martin, R.A., Rojas, I., Franke, K.W., Hedengren, J.D., Evolutionary View Planning for Optimized UAV Terrain Modeling in a Simulated Environment, Remote Sensing, 8(1), 26, 2016, DOI:10.3390/rs8010026. Article
8. Eaton, A.N., Park, J., Thorpe, S., Webber, T., Safdarnejad, S.M., Hedengren, J.D., High-Speed Data and High-Fidelity Models: Opportunities and Challenges in Well Manufacturing, AIChE Spring Meeting, Houston, TX, April 2016. Abstract
9. Safdarnejad, S.M., Richards, J., Griffiths, J., Hedengren, J.D., Baxter, L.L., Increased Stability of a Power Grid by Energy Storage of Cryogenic Carbon Capture, AIChE Spring Meeting, Houston, TX, April 2016. Abstract
10. Nikbakhsh, S., Hedengren, J.D., Darby, M., Udy, J., Constrained Model Identification Using Open-Equation Nonlinear Optimization, AIChE Spring Meeting, Houston, TX, April 2016. Abstract
11. Martin, R.M., Hall, A., Brinton, C., Franke, K., and Hedengren, J.D., Privacy Aware Mission Planning and Video Masking for UAV Systems, UMS-01, Unmanned Systems: Mission Management and Planning Technologies, Jan 4, 2016, AIAA Infotech at Aerospace, AIAA Science and Technology Forum and Exposition 2016, San Diego, California, USA, 4-8 Jan 2016, DOI: 10.2514/6.2016-0250. Article
12. Moffat, S., Temperature Control of Wood Pellet Grills with Excessive Overshoot, Oscillations, and Offset, 2016, Thesis, Brigham Young University.
13. Safdarnejad, M., Developing Modeling, Optimization, and Advanced Process Control Frameworks for Improving the Performance of Transient Energy–Intensive Applications, 2016, Dissertation, Brigham Young University. Dissertation

2015

1. Feinberg, B.J., Ramon, G.Z., Hoek, E.M.V., Scale-up characteristics of membrane-based salinity-gradient power production, Journal of Membrane Science, Volume 476, 15 February 2015, Pages 311-320, ISSN 0376-7388, DOI:10.1016/j.memsci.2014.10.023. Article
2. Sun, L., Castagno, J., Hedengren, J. D., and Beard, R. W., Parameter Estimation for Towed Cable Systems Using Moving Horizon Estimation, IEEE Transactions on Aerospace and Electronic Systems, Vol. 51, No. 2, April 2015. Article
3. Asgharzadeh Shishavan, R., Hubbell, C., Perez, H.D., Hedengren, J.D., Pixton, D.S., and Pink, A.P., Multivariate Control for Managed Pressure Drilling Systems Using High Speed Telemetry, SPE Journal, SPE-170962, Published Online 7 Oct 2015, DOI: 10.2118/170962-PA. Article
4. Lewis, N.R., Hedengren, J.D., Haseltine, E.L., Hybrid Dynamic Optimization Methods for Systems Biology with Efficient Sensitivities, Special Issue on Algorithms and Applications in Dynamic Optimization, Processes, 2015, 3(3), 701-729; doi:10.3390/pr3030701. Article
5. Safdarnejad, S.M., Hedengren, J.D., Lewis, N.R., Haseltine, E., Initialization Strategies for Optimization of Dynamic Systems, Computers and Chemical Engineering, Vol. 78, pp. 39-50, DOI: 10.1016/j.compchemeng.2015.04.016. Article
6. Safdarnejad, S.M., Hedengren, J.D., Baxter, L., Effect of Cryogenic Carbon Capture (CCC) on Smart Power Grids, AIChE Spring Meeting, Austin, TX, April 2015.
7. Safdarnejad, S.M., Hedengren, J.D., Baxter, L.L, Plant-level Dynamic Optimization of Cryogenic Carbon Capture with Conventional and Renewable Power Sources, Applied Energy Journal, Vol. 149, pp. 354-366, 2015, DOI: 10.1016/j.apenergy.2015.03.100 Article
8. Eaton, A., Hedengren, J.D., Nybø, R., Aghito, M., El Boubsi, R., Braaksma, J., and van Og, G., Model Redundancy for Data Validation in Automated Managed Pressure Drilling, SPE Annual Technical Conference and Exhibition (ATCE), SPE-174969-MS, Houston, TX: 28-30 Sept 2015.
9. Asgharzadeh Shishavan, R., Hubbell, C., Perez, H.D., Hedengren, J.D., and Pixton, D.S., Combined Rate of Penetration and Pressure Regulation for Drilling Optimization Using High Speed Telemetry, SPE Drilling & Completion Journal, SPE-170275-PA, 30 (1), pp. 17-26, 5 March 2015. Article
10. Hallac, B., Kayvanloo, K., Hedengren, J.D., Hecker, W.C., Argyle, M.D., An Optimized Simulation Model for Iron-Based Fischer-Tropsch Catalyst Design: Transfer Limitations as Functions of Operating and Design Conditions, Chemical Engineering Journal, Volume 263, 1 March 2015, Pages 268–279, ISSN 1385-8947, doi: 10.1016/j.cej.2014.10.108. Article
11. Eaton, A., Safdarnejad, S.M., Hedengren, J.D., Moffat, K., Hubbell, C., Brower, D.V., Brower, A.D., Post-Installed Fiber Optic Pressure Sensors on Subsea Production Risers for Severe Slugging Control, ASME 34th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2014/42196, St. John's, Newfoundland, Canada, June 2015.
12. Safdarnejad, S.M., Kennington, L., Baxter, L., Hedengren, J.D., Investigating the Impact of Cryogenic Carbon Capture on Power Plant Performance, American Control Conference, Chicago, July 2015.
13. Asgharzadeh Shishavan, R., Nonlinear Estimation and Control with Application to Upstream Processes, 2016, Dissertation, Brigham Young University. Dissertation

2014

1. Hedengren, J. D. and Asgharzadeh Shishavan, R., Powell, K.M., and Edgar, T.F., Nonlinear Modeling, Estimation and Predictive Control in APMonitor, Computers and Chemical Engineering, Volume 70, pg. 133–148, 2014, DOI: 10.1016/j.compchemeng.2014.04.013. Article
2. Powell, K.M., Hedengren, J.D., and Edgar, T.F., Dynamic Optimization of a Hybrid Solar Thermal and Fossil Fuel System, Solar Energy, DOI: 10.1016/j.solener.2014.07.004, Vol. 108, pp. 210–218, 2014. Article
3. Sun, L., Hedengren, J. D., and Beard, R. W., Optimal Trajectory Generation using Model Predictive Control for Aerially Towed Cable Systems, Journal of Guidance, Control, and Dynamics, Vol. 37, Issue 2, pp. 525-539, 2014. Article
4. Asgharzadeh Shishavan, R., Brower, D.V., Hedengren, J.D., Brower, A.D., New Advances in Post-Installed Subsea Monitoring Systems for Structural and Flow Assurance Evaluation, ASME 33rd International Conference on Ocean, Offshore and Arctic Engineering, OMAE2014/24300, San Francisco, CA, June 2014.
5. Brower, D.V., Brower, A.D., Hedengren, J.D., Asgharzadeh Shishavan, R., A Post-Installed Subsea Monitoring System for Structural and Flow Assurance Evaluation, Offshore Technology Conference, OTC 25368, Houston, TX, May 2014.
6. Safdarnejad, S.M., Hall, T., Hedengren, J.D., Baxter, L., Dynamic Optimization of Cryogenic Carbon Capture with Large-scale Adoption of Renewable Power, AIChE Annual Meeting, Atlanta, GA, Nov 2014.
7. Asgharzadeh Shishavan, R., Hubbell, C., Perez, H.D., Hedengren, J.D., Pixton, D.S., and Pink, A.P., Multivariate Control for Managed Pressure Drilling Systems Using High Speed Telemetry, SPE Annual Technical Conference and Exhibition (ATCE), Amsterdam, The Netherlands: 27-29 Oct 2014. Article
8. Asgharzadeh Shishavan, R., Hubbell, C., Perez, H.D., Hedengren, J.D., and Pixton, D.S., Combined Rate of Penetration and Pressure Regulation for Drilling Optimization Using High Speed Telemetry, SPE Deepwater Drilling and Completions Conference, Galveston, TX: 10-11 Sept 2014. Article
9. Mojica, J.L. and Hedengren, J.D., APMonitor: Modeling Platform for Dynamic Optimization, Invited Session on Optimization Modeling Languages and Software at APMOD 2014, 11th International Conference on Applied Mathematical Optimization and Modelling, 9-11 April 2014, Warwick Business School, Coventry, UK.
10. Pixton, D., Asgharzadeh Shishavan, R., Hedengren, J.D., and Craig, A., Addressing UBO and MPD Challenges with Wired Drillpipe, SPE/IADC MPD & UBO Conference & Exhibition, Madrid, Spain: 8 - 9 Apr 2014. Article
11. Asgharzadeh Shishavan, R. and Hedengren, J.D., Improved Estimator Insensitivity to Outliers, Measurement Drift, and Noise, AIChE Spring Meeting, New Orleans, LA, April 2014.
12. Asgharzadeh Shishavan, R., Memmott, J.A., Hedengren, J.D., and Pixton, D., Pressure Regulation and Kick Attenuation with Wired Pipe Technology in Managed Pressure Drilling, AIChE Spring Meeting, New Orleans, LA, April 2014.
13. Brower, D., Brower, A., Memmott, J.A., Asgharzadeh Shishavan, R., and Hedengren, J.D., Advanced Monitoring Systems on Existing Deepwater Infrastructure for Intelli-Field Advances, AIChE Spring Meeting, New Orleans, LA, April 2014.

2013

1. Brower, D., Hedengren, J.D., Asgharzadeh Shishavan, R., and Brower, A., Advanced Deepwater Monitoring System, ASME 32st International Conference on Ocean, Offshore and Arctic Engineering, OMAE2013/10920, Nantes, France, June 2013, ISBN: 978-0-7918-5531-7.
2. Jacobsen, L. T. and Hedengren, J. D., Model Predictive Control with a Rigorous Model of a Solid Oxide Fuel Cell, American Control Conference (ACC), Washington, DC, pp. 3747–3752, 2013.
3. Powell, K. M., Hedengren, J. D., and Edgar, T. F., Dynamic Optimization of a Solar Thermal Energy Storage System over a 24 Hour Period using Weather Forecasts, American Control Conference (ACC), Washington, DC, pp. 2952-2957, 2013.
4. Mojica, J.L., Chen, M., Petersen, D., Hedengren, J.D., Planning of Capacity Investments using a Model Predictive Control Approach, INFORMS Annual Meeting, Minneapolis, MN, Oct 2013. Session
5. Hedengren, J.D., Mojica, J.L., Lewis, A.D. and Nikbakhsh, S., MINLP with Combined Interior Point and Active Set Methods, INFORMS Annual Meeting, Minneapolis, MN, Oct 2013. Session
6. Mojica, J.L., Greenquist, I., Hedengren, J.D., Dynamic Optimization: Energy System Planning Under Uncertainty, INEST Nuclear Hybrid Energy Systems CORE Workshop, Idaho Falls, ID, July 2013.
7. Greenquist, I., Hedengren, J.D., Opportunities for Hybrid Nuclear System Integration in the Petrochemical Industry, INEST Nuclear Hybrid Energy Systems CORE Workshop, Idaho Falls, ID, July 2013.
8. Hedengren, J.D., Mojica, J.L., Asgharzadeh Shishavan, R., Safdarnejad, S.M., Recent Advances in the Application of MIDAE Systems, AIChE National Meeting, San Francisco, CA, Nov 2013.
9. Mojica, J.L., Hedengren, J.D., A Model Predictive Control Approach for Long Term Planning of Capacity Investments in a District Heating System, AIChE National Meeting, San Francisco, CA, Nov 2013.

2012

1. Benjamin J. Spivey, Thomas F. Edgar, Dynamic modeling, simulation, and MIMO predictive control of a tubular solid oxide fuel cell, Journal of Process Control, Volume 22, Issue 8, September 2012, Pages 1502-1520, ISSN 0959-1524, DOI:10.1016/j.jprocont.2012.01.015. Article
2. Harney, D.A., Mills, T.K., Book, N.L., Numerical evaluation of the stability of stationary points of index-2 differential-algebraic equations: Applications to reactive flash and reactive distillation systems, Computers & Chemical Engineering, Volume 49, 11 February 2013, Pages 61-69, ISSN 0098-1354, DOI:10.1016/j.compchemeng.2012.09.021. Article
3. Nielsen, I., Modeling and Control of Friction Stir Welding in 5 cm thick Copper Canisters, M.Sc. thesis, Linköping University, 2012. Thesis
4. Spivey, B.J., Hedengren, J.D., and Edgar, T.F., Constrained Control and Optimization of Tubular Solid Oxide Fuel Cells for Extending Cell Lifetime, American Control Conference (ACC), Montréal, Canada, pp. 1356-1361, July 2012.
5. Brower, D., Hedengren, J.D., Loegering, C., Brower, A., Witherow, K., and Winter, K., Fiber Optic Monitoring of Subsea Equipment, ASME 31st International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2012, Rio de Janiero, Brazil, Volume 1: Offshore Technology, Number: 84143, pp. 769-776, June 2012.
6. Abbott, C.S., Haseltine, E.L., Martin, R.A., and Hedengren, J.D., New Capabilities for Large-Scale Models in Computational Biology, Computing and Systems Technology Division, AIChE National Meeting, Pittsburgh, PA, Oct 2012. Session
7. Asgharzadeh Shishavan, R. and Hedengren, J.D., Nonlinear Model Predictive Control of a Thermal Oxidizer System, Computing and Systems Technology Division, AIChE National Meeting, Pittsburgh, PA, Oct 2012. Session
8. Powell, K.M., Hedengren, J.D., and Edgar, T.F., Dynamic Optimization of Solar Thermal Systems with Storage, Computing and Systems Technology Division, AIChE National Meeting, Pittsburgh, PA, Oct 2012. Session
9. Hedengren, J.D., Mojica, J.L., Cole, W., Edgar, T.F., APOPT: MINLP Solver for Differential Algebraic Systems with Benchmark Testing, INFORMS Annual Meeting, Phoenix, AZ, Oct 2012. Session
10. Hedengren, J.D., APMonitor Modeling Language for Mixed-Integer Differential Algebraic Systems, Computing Society Sponsored Session on Optimization Modeling Software: Design and Applications, INFORMS Annual Meeting, Phoenix, AZ, Oct 2012. Session
11. Liang Sun, Hedengren, J.D., Beard, R.W., Real-time Moving Horizon Estimation for an Unmanned Aerial System, OPTEC Workshop on Moving Horizon Estimation and System Identification, Leuven, Belgium, Aug 2012.
12. Hedengren, J.D., A Simulation Platform to Enhance Engineering Laboratory Experiences, ASEE: American Society for Engineering Education, Summer School, Orono, Maine, July 2012.
13. Jensen, K.R. and Hedengren, J.D., Improved Load Following of a Boiler with Advanced Process Control, AIChE Spring Meeting, Houston, TX, April 2012.
14. Hedengren, J.D., Brower, D., and Mojica, J., Advanced Process Monitoring of Flow Assurance with Fiber Optics, AIChE Spring Meeting, Houston, TX, April 2012.

2010

1. Spivey, B. J., Hedengren, J. D. and Edgar, T. F., Constrained Nonlinear Estimation for Industrial Process Fouling, Industrial & Engineering Chemistry Research, 49 (17), pp 7824–7831, DOI: 10.1021/ie9018116, 2010. Article
2. Soderstrom, T.A., Zhang, Y., and Hedengren, J.D., Advanced Process Control in ExxonMobil Chemical Company: Successes and Challenges, CAST Division, AIChE National Meeting, Salt Lake City, UT, Nov 2010.

2009

1. Spivey, B.J., Hedengren, J.D., and Edgar, T.F., Monitoring of Process Fouling Using First-Principles Modeling and Moving Horizon Estimation, Proc. Applications of Computer Algebra (ACA) Conference, Montréal, Canada, 2009.

2008

1. Hedengren, J. D. and Edgar, T. F., Approximate Nonlinear Model Predictive Control with In Situ Adaptive Tabulation, Computers and Chemical Engineering, Volume 32, pp. 706-714, 2008. Article
2. Hedengren, J. D., A Nonlinear Model Library for Dynamics and Control, Computer Aids for Chemical Engineering (CACHE) News, Summer 2008. Link

2007

1. Hedengren, J.D. Allsford, K.V., and Ramlal, J., Moving Horizon Estimation and Control for an Industrial Gas Phase Polymerization Reactor, Proceedings of the American Control Conference (ACC), New York, NY, pp. 1353-1358, July 2007.
2. Ramlal, J., Naidoo, V., Allsford, K.V., and Hedengren, J.D., Moving Horizon Estimation for an Industrial Gas Phase Polymerization Reactor, Proc. IFAC Symposium on Nonlinear Control Systems Design (NOLCOS), Pretoria, South Africa, 2007.

2006

1. Hedengren, J. D. and Edgar, T. F., Moving Horizon Estimation - The Explicit Solution, Proceedings of the CPC-VII, Lake Louise, Alberta, Canada, 2006.

2005

1. Hedengren, J. D. and Edgar, T. F., In Situ Adaptive Tabulation for Real-Time Control, Industrial & Engineering Chemistry Research, Ind. Eng. Chem. Res., Volume 44, Issue 8, pp. 2716 -2724, 2005. Article
2. Hedengren, J. D. and Edgar, T. F., Order Reduction of Large Scale DAE Models, Computers and Chemical Engineering, Volume 29, Issue 10, pp. 2069-2077, 2005. Article
3. Hedengren, J.D. and Edgar, T.F., Order Reduction of Large Scale DAE Models, IFAC 16th World Congress, Prague, Czechoslovakia, July, 2005.
4. Hedengren, J. D., Real-Time Estimation and Control of Large-Scale Nonlinear DAE Systems, Doctoral Dissertation, The University of Texas at Austin, 2005.

2004

1. Hedengren, J. D. and Edgar, T. F., In Situ Adaptive Tabulation for Real-time Control, Proceedings of the American Control Conference (ACC), Boston, MA, pp. 2222-2227, July 2004.
2. Hedengren, J.D. and Edgar, T.F., Order Reduction of a Large-Scale Index-2 DAE Model, Computing and Systems Technology Division, AIChE National Meeting, Cincinnati, OH, Nov 2005.
3. Hedengren, J. D. and Edgar, T. F., Order Reduction of Large Scale DAE Models, Computing and Systems Technology Division, AIChE National Meeting, Austin, TX, Nov 2004.

2003

1. Hedengren, J. D. and Edgar, T. F., In Situ Adaptive Tabulation for Nonlinear MPC, Poster Session: Systems and Process Control, AIChE National Meeting, San Francisco, CA, Nov 2003.

Patents

1. Lawson, K. W., Hedengren, J. D., Smith, L. C., Method for Controlling Bubble Formation in Polymerization Reactors, International Patent WO2012005740, Issued January 12, 2012, United States Patent Application 20130203946, Issued August 8, 2013.