Manas  Mejari
Manas Mejari
Postdoctoral researcher, IDSIA/SUPSI, Lugano, Switzerland
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Cited by
Cited by
Improving lifetime of fuel cell in hybrid energy management system by lure–lyapunov-based control formulation
S Mane, M Mejari, F Kazi, N Singh
IEEE Transactions on Industrial Electronics 64 (8), 6671-6679, 2017
A bias-correction method for closed-loop identification of Linear Parameter-Varying systems
M Mejari, D Piga, A Bemporad
Automatica 87, 128-141, 2018
Regularized moving-horizon piecewise affine regression using mixed-integer quadratic programming
VV Naik, M Mejari, D Piga, A Bemporad
2017 25th Mediterranean Conference on Control and Automation (MED), 1349-1354, 2017
Regularized least square support vector machines for order and structure selection of LPV-ARX models
M Mejari, D Piga, A Bemporad
2016 European Control Conference (ECC), 1649-1654, 2016
Nonlinear model predictive control of pvtol aircraft under state and input constraints
A Gupta, M Mejari, V Ketkar, M Datar, NM Singh
Proceedings of conference on advances in robotics, 1-6, 2013
Energy disaggregation using piecewise affine regression and binary quadratic programming
M Mejari, VV Naik, D Piga, A Bemporad
2018 IEEE Conference on Decision and Control (CDC), 3116-3121, 2018
Trajectory tracking of quadrotor with bounded thrust using model predictive control
M Mejari, A Gupta, NM Singh, F Kazi
Proceedings of Conference on Advances In Robotics, 1-6, 2013
Identification of hybrid and linear parameter‐varying models via piecewise affine regression using mixed integer programming
M Mejari, VV Naik, D Piga, A Bemporad
International Journal of Robust and Nonlinear Control, 2020
Regularized moving-horizon pwa regression for lpv system identification
M Mejari, VV Naik, D Piga, A Bemporad
IFAC-PapersOnLine 51 (15), 1092-1097, 2018
Robust tube based MPC for PVTOL trajectory tracking using systems flatness property
S Petkar, S Umbarkar, M Mejari, NM Singh, F Kazi
2016 International Conference on Unmanned Aircraft Systems (ICUAS), 1095-1101, 2016
Recursive bias-correction method for identification of piecewise affine output-error models
M Mejari, V Breschi, D Piga
IEEE Control Systems Letters 4 (4), 970-975, 2020
Motion planning for the three wheel mobile robot using the reachable set computation under constraints
M Datar, V Ketkar, M Mejari, A Gupta, N Singh, F Kazi
IFAC Proceedings Volumes 47 (1), 787-793, 2014
Shrinkage strategies for structure selection and identification of piecewise affine models
V Breschi, M Mejari
2020 59th IEEE Conference on Decision and Control (CDC), 1626-1631, 2020
A bias-correction approach for the identification of piecewise affine output-error models
M Mejari, V Breschi, VV Naik, D Piga
IFAC-PapersOnLine 53 (2), 1096-1101, 2020
Consistent and computationally efficient estimation for stochastic LPV state-space models: realization based approach
M Mejari, M Petreczky
2019 IEEE 58th Conference on Decision and Control (CDC), 3805-3810, 2019
LPV Model Order Selection from Noise-corrupted Output and Scheduling Signal Measurements⋆
M Mejari, D Piga, A Bemporad
IFAC World Congress, Tolouse, France 50 (1), 8355-8360, 2017
Absolute stability of fuel cell-super capacitor hybrid power source using Lure Lyapunov formulation for load variations
M Mejari, F Kazi, S Mane, N Singh
2015 International Conference on Industrial Instrumentation and Control …, 2015
Maximum-a-posteriori estimation of LTI state-space models via efficient Monte-Carlo sampling
M Mejari, D Piga
ASME Letters in Dynamic Systems and Control, 1-6, 2021
Learning dynamical systems from quantized observations: a Bayesian perspective
D Piga, M Mejari, M Forgione
Deep learning with transfer functions: new applications in system identification
D Piga, M Forgione, M Mejari
arXiv preprint arXiv:2104.09839, 2021
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