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Manas Mejari
Manas Mejari
IDSIA Dalle Molle Institute for Artificial Intelligence, Switzerland
Verified email at idsia.ch - Homepage
Title
Cited by
Cited by
Year
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
532017
A bias-correction method for closed-loop identification of Linear Parameter-Varying systems
M Mejari, D Piga, A Bemporad
Automatica 87, 128-141, 2018
432018
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
23*2020
Learning neural state-space models: Do we need a state estimator?
M Forgione, M Mejari, D Piga
arXiv preprint arXiv:2206.12928, 2022
142022
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
142017
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
112020
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
112016
Computation of parameter dependent robust invariant sets for LPV models with guaranteed performance
A Gupta, M Mejari, P Falcone, D Piga
Automatica 151, 110920, 2023
102023
Direct identification of continuous-time LPV state-space models via an integral architecture
M Mejari, B Mavkov, M Forgione, D Piga
Automatica 142, 110407, 2022
92022
Realization and identification algorithm for stochastic LPV state-space models with exogenous inputs
M Mejari, M Petreczky
IFAC-PapersOnLine 52 (28), 13-19, 2019
92019
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
92016
Data-driven computation of robust invariant sets and gain-scheduled controllers for linear parameter-varying systems
M Mejari, A Gupta, D Piga
IEEE Control Systems Letters, 2023
82023
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
82013
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
72018
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
72013
Shedding light on the ageing of extra virgin olive oil: Probing the impact of temperature with fluorescence spectroscopy and machine learning techniques
F Venturini, S Fluri, M Mejari, M Baumgartner, D Piga, U Michelucci
LWT 191, 115679, 2024
62024
Learning dynamical systems from quantized observations: a Bayesian perspective
D Piga, M Mejari, M Forgione
IEEE Transactions on Automatic Control, 2021
62021
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
62019
Direct data-driven computation of polytopic robust control invariant sets and state-feedback controllers
M Mejari, A Gupta
2023 62nd IEEE Conference on Decision and Control (CDC), 590-595, 2023
52023
Deep learning with transfer functions: new applications in system identification
D Piga, M Forgione, M Mejari
19th IFAC Symposium on System Identification SYSID 2021 54 (7), 415-420, 2021
52021
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