A novel model predictive control formulation for hybrid systems with application to adaptive behavioral interventions. - Naresh N. Nandola; Daniel E. Rivera (ACC, 2010)

Model-on-Demand predictive control for nonlinear hybrid systems with application to adaptive behavioral interventions. - Naresh N. Nandola; Daniel E. Rivera (CDC, 2010)

A control engineering approach for designing an optimized treatment plan for fibromyalgia. - Sunil Deshpande; Naresh N. Nandola; Daniel E. Rivera; Jarred Younger (ACC, 2011)

Modeling and predictive control of nonlinear hybrid systems using disaggregation of variables - A convex formulation. - Naresh N. Nandola; Karan Puttannaiah (ECC, 2013)

An Improved Formulation of Hybrid Model Predictive Control With Application to Production-Inventory Systems. - Naresh N. Nandola; Daniel E. Rivera (IEEE Trans. Control. Syst. Technol., 2013)

Maximum likelihood estimation of noise covariance matrices for state estimation of autonomous hybrid systems. - Vinay A. Bavdekar; Naresh N. Nandola; Sachin C. Patwardhan (Comput. Chem. Eng., 2016)

Control Systems Engineering for Optimizing Behavioral mHealth Interventions. - Daniel E. Rivera; César A. Martín; Kevin P. Timms; Sunil Deshpande; Naresh N. Nandola; Eric B. Hekler (Mobile Health - Sensors, Analytic Methods, and Applications, 2017)

Dynamic plunger lift model for deliquification of shale gas wells. - Arun Gupta; Niket S. Kaisare; Naresh N. Nandola (Comput. Chem. Eng., 2017)

Enhanced branch and bound approach for receding horizon based planning. - Michael Jäntsch; Naresh N. Nandola; Li Wang; Mathias Hakenberg; Ulrich Münz (CASE, 2018)

Online optimization for a plunger lift process in shale gas wells. - Naresh N. Nandola; Niket S. Kaisare; Arun Gupta (Comput. Chem. Eng., 2018)

Photovoltaic Inverter Efficiency and Lifetime Trade-off using Model based Real-Time Optimization. - Aravind Ingalalli; Jonathan Robinson; Naresh N. Nandola (ACC, 2023)