Manas Dilip
Mejari
I completed my Ph.D., doctoral program in the Dynamical Systems, Control and Optimization (DYSCO) research unit of IMT School for Advanced Studies Lucca, under the supervison of Prof. Alberto Bemporad and Dr. Dario Piga, in July 2018. I was a visiting researcher at the Control System group of Eindhoven University of Technology (TU/e, netherlands), under the supervision of Dr. Roland Toth, from February to July 2017. My research interests include system identification, machine learning and control theory.
Educational Background
- Ph.D., Control Systems, IMT School for Advanced Studies Lucca, Italy, 2018.
- Master of Technology, Control System (Distinction) , University of Mumbai, India, 2013.
- Bachelor of Engineering, Electronics and Telecommunication (Distinction), University of Mumbai, India, 2011.
Thesis
- Towards automated data-driven modeling of linear parameter-varying systems. IMT School for Advanced Studies Lucca, July 2018.
Publications
Journal papers
- M. Mejari, D. Piga, and A. Bemporad, “A bias-correction method for closed-loop identification of linear parameter-varying systems,” Automatica, 87:128- 141, 2018.
- S. Mane, M. Mejari, F. Kazi, and N. M. Singh, ``Improving lifetime of fuel cell in hybrid energy management system by Lure–Lyapunov-based control formulation," in IEEE Transactions on Industrial Electronics, vol. 64, no. 8, pp. 6671-6679, 2017.
Conference proceedings
- M. Mejari, V.V. Naik, D. Piga, and A. Bemporad, “Energy disaggregation using piecewise affine regression and binary quadratic programming,” in Proc. 57th IEEE Conf. on Decision and Control, Miami Beach, FL, USA, 2018.
- M. Mejari, V.V. Naik, D. Piga, and A. Bemporad, “Regularized moving-horizon PWA regression for LPV system identification,” 18th IFAC Symposium on System Identification, Stockholm, Sweden, 2018.
- M. Mejari, D. Piga, and A. Bemporad, “LPV model-order selection from noise-corrupted output and scheduling signal measurements,” in Proc. 20th IFAC World Congress, Toulouse, France, 2017, pp. 8685–8690.
- V.V. Naik, M. Mejari, D. Piga, and A. Bemporad, “Regularized moving-horizon PWA regression using mixed-integer quadratic programming,” in 25th Mediterranean Control Conference, Valletta, Malta, July 2017, pp. 1349–1354.
- M. Mejari, D. Piga, and A. Bemporad, “Regularized least square support vector machines for order and structure selection of LPV-ARX models,” in Proc. European Control Conference, Aalborg, Denmark, 2016, pp. 1649-1654.
Submitted
- M. Mejari, D. Piga, R. Tóth, and A. Bemporad, “Identification of linear parameter-varying models with linear fractional representations,” 2018, Submitted.
- V.V. Naik, M. Mejari, D. Piga, and A. Bemporad, “Energy disaggregation using embedded binary quadratic programming,” 2018, Submitted.