Publications

Patents (Granted) 

1. Badwe, A.,  Bhat, S., Kubal, N., Nandola, N.N., Method and system for updating a model in a model predictive controller, Patent No.:   US9581980, CN102985884

2. Nandola N., Gupta A., Kaisare N., Method and System for maximizing production of a well with a gas assisted plunger lift,  Patent No.:  US10876383B2, CA2968489C.

3. Nandola N., Gupta A., Kaisare N., A Method and A control system for optimizing production of a hydrocarbon well,  Patent No.: US10494906B2, CA2968511C. 

4. Jäntsch Michael , Nandola N., Automated system including reachability analysis, EP3877117B1, CN113165174B. 

Patents (Pending)

1. Nandola N., Mathur T., A method and systems for scheduling of resources in a process industries, Filing date: Sept 2012,Pub No.: WO/2013/038262.

2. Bhat S., Nandola N. N., Kulkarni K., Vasudeva M., Method and system for augmentation of solar energy with energy from other sources to provide enhanced energy for storage and utilization, Filing date: Dec 2012, IN/5362/2012

3. Arun Gupta, Niket Kaisare, Nandola N.,Method for Improved Plunger Lift operation , Pub No.:WO/2015/101859.

4. Nandola  N., Mathur T., Kymalainen T., Mantysaari J., Method and System for Minimum Cost Flow Based Optimal Scheduling and Production Planning, Pub No.:WO/2015/075616.

5. Srinivas M., Kumar M. S., Nandola N., Vasudeva M., A Control System for Operation of Irrigation Canals., Filing date: Sept 2013,Pub No.:WO/2015/033269. 

6. Nandola N., Bhat S., Kaisare N., Wiese W., Method and system for regulating temperature of data center, 2018. Pub No.: WO/2018/122635A1.

7. Nandola N., Wendelberger K., Method for automatic prioritization between agents in the agent-based automation, 2022. PCT/US2022/023392.

Book Chapter(s)

1. Rivera, D.E., C.A. Martin, K.P. Timms, S. Deshpande, Nandola N. N., and E.B. Hekler, “Control Systems Engineering for Optimizing Behavioral mHealth Interventions,” chapter in Mobile Health: Sensors, Analytic Methods, and Applications (J. Rehg, S. Murphy, and S. Kumar, eds.); pp. 455-494; publisher: Springer, 2017.

International Journal Papers (peer reviewed)

1. Nandola N. N., Bhartiya S., A Multiple Model Approach for Predictive Control of Nonlinear Hybrid Systems. Journal of Process Control, 18(2), 131-148, 2008. (Ranked 3rd in Top 25 Hottest Articles on Science Direct)

2. Nandola N. N., Bhartiya S., Hybrid system identification using a structural approach and its model based control: An experimental validation. Nonlinear Analysis: Hybrid Systems, 3(2), 87-100, 2009. (Ranked 2nd in Top 25 Hottest Articles on Science Direct)

3. Nandola N. N., Bhartiya S., A computationally efficient scheme for model predictive control of nonlinear hybrid systems using generalized outer approximation.Industrial & Engineering Chemistry Research, 48(12), 5767-5778, 2009.

4. Nandola N. N., Rivera D. E., An Improved Model Predictive Control Formulation for Hybrid Systems With Application to Production-Inventory Systems.  IEEE Transactions on Control System Technology, 21(1), 121 - 135,2013.

5. Patil, B. V., Bhartiya S., Nataraj P. S. V., Nandola, N. N., Multiple model based predictive control of nonlinear hybrid systems based on global optimization using the bernstein polynomial approach,  Journal of Process Control, 22(2), 423-435, 2011. (Ranked 24th in Top 25 Hottest Articles on Science Direct)

6. Deshpande S., Rivera D.E., Younger J. W.  Nandola N. N., A control systems engineering approach for adaptive behavioral interventions: illustration with a fibromyalgia intervention , Translational Behavioral Medicine, 4(3), 275-289, 2014.

7. Deshpande S., Nandola N. N.,  Rivera D.E., Younger J. W., Optimized Treatment of Fibromyalgia Using System Identification and Hybrid Model Predictive Control, Control Engineering Practice, 33,161-173, 2014.

8. Rathi P., Bhumireddy S. M., Nandola N. N., Harjunkoski I.,  Srinivasan R., Integrating Production Control and Scheduling in Multi-SiteEnterprises based on Real-Time Detection of Divergence, Industrial & Engineering Chemistry Research, 55(19), 5681-5695, 2016.

9. Bavdekar V.A., Nandola N. N., Patwardhan S.C.,Maximum Likelihood Estimation of Noise Covariance Matrices for State Estimation of Autonomous Hybrid Systems, Computers & Chemical Engineering, 94, 28–44,2016.

10. Gupta A., Kaisare N. S., Nandola N. N., Dynamic plunger lift model for deliquification of shale gas wells, Computers & Chemical Engineering, 103, 81-90,2017.

11.  Nandola N. N., Kaisare N. S.,  Gupta A., Online optimization for plunger lift process in shale gas wells, Computers & Chemical Engineering, 108, 89-97,2018.

12. S. Banerjee, O. Khan, M. El Mistiri, N. N. Nandola, E. Hekler, D. E. Rivera, Data-Driven Control of Nonlinear Process Systems Using a Three-Degree-of-Freedom Model-on-Demand Model Predictive Control Framework, Industrial & Engineering Chemistry Research ,64(17), 8847-8864, 2025

International Conference Proceedings/Presentations (peer reviewed)

1. Nandola N. N., Bhartiya S., Control of Nonlinear Hybrid Systems Using Multiple MLD Models. AIChE Annual meeting, Cincinnati (OH), October 30 -  November 04, 2005. 

2. Nandola N. N., Bhartiya S., Predictive control of nonlinear hybrid system using generalized outer approximation, in:  17th IFAC World Congress, pp. 3624-3628, Seoul, South Korea, 2008.

3. Nandola N. N., Bhartiya S., Interaction of programmable logic controllers with model predictive control using hybrid system.  in: International Conference on Emerging Technologies and Application in Engineering, Technology and Science (ICETAETS), vol.-1, pp. 781-786, Rajkot, India,  January 13-14 , 2008.

4. Nandola N. N., Bhartiya S., Modeling and control of hybrid systems. International Conference on Trends in Industrial Measurements and Automation (TIMA), Chennai, India, January 4- 6 , 2009. (Keynote lecture)

5. Nandola N. N., Rivera D. E., A Novel Model Predictive Control Formulation for Hybrid Systems With Application to Adaptive Behavioral Interventions, in:  American Control Conference (ACC), pp. 6286-6292 , Baltimore, MD, USA, June 30-July 02, 2010.

6. Nandola N. N., Rivera D. E.,  Collins L. M., Robust Optimal Decision Policies for Adaptive, Time-varying Behavioral Interventions using Model Predictive Control., Society for Prevention Research (SPR) 18th Annual Meeting "Cells to Society: Prevention at All Levels", Denever, CO, USA, June 1-4, 2010.

7. Rivera D. E., Nandola N. N., Collins L. M., Robust Optimal Decision Policies for Adaptive, Time-varying Behavioral Interventions using Model Predictive Control.,  CPDD 72nd Annual Scientific Meeting , Scottsdale, AZ, USA , June 12-17, 2010.

8. Nandola N. N., Rivera D. E., Model-on-Demand  Predictive Control  for Nonlinear Hybrid Systems With Application to Adaptive Behavioral Interventions.  in: 49thIEEE Conference on Decision and Control (CDC) , pp. 6113-6118, Atlanta, Georgia USA  on December 15-17, 2010.

9. Nandola N. N., Rivera D. E., Data-Centric Modeling and Predictive Control for Nonlinear Hybrid Systems, with Application to Adaptive Behavioral Interventions, AIChE Annual meeting, Salt lake city (UT), November 7-12, 2010.

10. Nandola N. N., Rivera D. E., Hybrid Model Predictive Control Applied to Production-Inventory Systemss.  in: 18th IFAC World Congress,  pp. 7328-7333, Milano, Italy, August 28 - September 02, 2011. 

11. Deshpande S., Nandola N. N., Rivera D. E., A Control Engineering Approach To Designing an Optimized Treatment Plan for Fibromyalgia. in: American Control Conference (ACC), pp. 4798-4803, San Francisco, CA, USA , June 29 - July 01, 2011.

12. Deshpande S., Nandola N. N., Rivera, D.E. and Younger J. W.,  A System Identification and Control Engineering Approach for Designing An Optimized Treatment Plan for Fibromyalgia,  AIChE Annual meeting, Minneapolis (MN), October 16-21, 2011.

13. Nandola N. N. and Karan Puttannaiah, Modeling and Predictive Control of Nonlinear Hybrid Systems Using Disaggregation of Variables – A Convex Formulation, in:European Control Conference (ECC), pp. 2681-2686,Zürich, Switzerland, July 17-19, 2013.

14. S. Mohan, Grover N., M. Vasudeva, M. Srinivas, Nandola N. N., Modeling and Simulation of Irrigation Canals with Hydro Turbines, in: Advances in Control Engineering(ACE), pp. 41-46, Istanbul, Turkey, October 5-7, 2013.

15. Kaisare N. S., Gupta A., Kariwala V., Nandola N. N., Green J. W., Seikel G., and Somdecerf  P., Control and Optimization Challenges in Liquid-Loaded Shale Gas Wells, in: IFAC International Symposium on Dynamics and Control of Process Systems (DYCOPS), pp. 227-232, Mumbai, India, Dec 18-20, 2013.

16. Kaisare N. S., Gupta A.,Nandola N. N, Modeling and Control for Deliquification of Shale Gas Wells., in: Gas Well Deliquification Workshop, Denever, Colorado, Feb 23-26, 2014.

17. Kaisare N. S., Gupta A.,Nandola N. N, Hybrid Dynamical Modeling of Artificial-lift Operation in Shale Gas Wells., AIChE Annual meeting, Atlanta (GA), November 16 -  21, 2014. 

18. Nandola N. N, Kaisare N. S., Gupta A., An Efficient Control Formulation for Cyclic Process with Application to an Industrial System., AIChE Annual meeting, Atlanta (GA), November 16 -  21, 2014. 

19. Nandola N. N, Mathur T., A Novel Modeling and Optimization based Energy Management Solution for Integrated Steel Plants., AIChE Annual meeting, Atlanta (GA), November 16 -  21, 2014. 

20. Rathi P., Bhumireddy S. M., Nandola N. N., Harjunkoski I.,  Srinivasan R., Integrating Control and Scheduling based on Real-Time Detection of Divergence, Computer Aided Chemical Engineering, 37,1943-1948,2015.

21. Jäntsch M., Nandola N.N., Wang L., Hakenberg M., Münz U., Enhanced Branch and Bound Approach for Receding Horizon Based Planning, 14th IEEE International Conference on Automation Science and Engineering (CASE), August 20-24, 2018.

22. Venkatachalam Avadiappan, Blake C. Rawlings, Christos T. Maravelias, Stephane Lafortune, John M. Wassick, William Edsall, Adam Kelloway, Bao Lin, Naresh N. Nandola and Mathias Hakenberg, Integration of Automation Logic and Scheduling for Real-Time Batch Chemical Plant Optimization, AIChE Annual meeting, Pittsburgh (PA), October 28 - November 02 , 2018. 

23. Ingalalli A., Robinson J., Nandola N. N., Photovoltaic Inverter Efficiency and Lifetime Trade-off using Model based Real-Time Optimization, in:  American Control Conference (ACC), pp. 738-743 , San Diego, CA, USA, May 31-Jun 02, 2023.

24. Nandola N. N., Wang B., Wu X., Burgos R., Control of DC Microgrid based flexible cold-rolling steel mill Plant – an application of grid supporting rectifier, in: IEEE 24th Workshop on Control and Modeling for Power Electronics (COMPEL), pp,--, Ann Arbor, MI, USA, June 25-28, 2023.

25. Cho C., Kelley S., Tylka J., He M., Nandola N. N., Rahn C. D., Improving Nonuniform Utilization of Li-Ion Pouch Cells using Tapered Electrodes through Calendering, in: proc. of the ASME  IDETC/CIE 2023, pp. DETC2023-111360  , Boston, MA, USA, August 20-23, 2023.

26. Banerjee S., Khan O., Mistiri M. E., Nandola N. N., Rivera D.E., Data-Driven Control of Highly Interactive Systems using 3DoF Model-On-Demand MPC: Application to a MIMO CSTR, IFAC Papers Online, Vol 58(15), 2024. (20th IFAC Symposium on System Identification SYSID 2024, Boston, United States, July 17-19, 2024)

Magazines

1. Tarun Mathur, Nandola N. N., Energy Management Solution for Integrated Steel Plants. Minerals & Metals Review, 38(1), 147-148, January,2012.

Lectures/Talks/Symposium

1. Nandola N. N., Introduction to hybrid systems. Continuous Education Process in the Department of Chemical Engineering, D.D.U., Nadiad, Gujarat, India, 20 December,2006.

2. Nandola N. N., Model based predictive control of hybrid systems. Continuous Education Process in the Department of Chemical Engineering, D.D.U., Nadiad, Gujarat, India, 20 December, 2006.

3. Nandola N. N., Modeling and control of nonlinear hybrid systems. Research scholars’ symposium, Department of Chemical Engineering, I.I.T. Bombay, Mumbai, India,10 February, 2007. 

4. Nandola N. N., Modeling and control of nonlinear hybrid systems. Research scholars’ symposium, Department of Chemical Engineering, I.I.T. Bombay, Mumbai, India,4 April, 2008.

5. Nandola N. N., Decision Policies for Adaptive, Time-Varying Behavioral Interventions using Hybrid Model Predictive Control. Design and optimization group, Methodology Center at Penn State University, USA, 24 Feb, 2009.

6. Rivera, D.E., Nandola N. N., and Deshpande S., "Robust optimal decision policies for adaptive, time-varying interventions using Model Predictive Control," Invited Symposium: Drawing on Ideas from Engineering and Computer Science to Build Better Behavioral Interventions,  2011 Annual Meeting of the Society of Behavioral Medicine, Washington, DC, April 29, 2011. (Handout)

7. Nandola N. N., Mathur T., Advanced Optimization Based Energy Managements Solution for Integrated Steel Plants, Federation of Indian Chambers of Commerce and Industry (FICCI), Mumbai, India, April 12-13, 2013.