M
Manas Mejari
Researcher at Dalle Molle Institute for Artificial Intelligence Research
Publications - 32
Citations - 143
Manas Mejari is an academic researcher from Dalle Molle Institute for Artificial Intelligence Research. The author has contributed to research in topics: Affine transformation & System identification. The author has an hindex of 5, co-authored 26 publications receiving 110 citations. Previous affiliations of Manas Mejari include IMT Institute for Advanced Studies Lucca & Veermata Jijabai Technological Institute.
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Journal ArticleDOI
Improving Lifetime of Fuel Cell in Hybrid Energy Management System by Lure–Lyapunov-Based Control Formulation
TL;DR: A Lure–Lyapunov-based controller executed in cascade mode for the control of hybrid energy management system of FC and ultracapacitor and this combination helps in improving lifetime of FC as auxiliary storage device such as UC provides a cushion for sudden transients.
Journal ArticleDOI
A bias-correction method for closed-loop identification of Linear Parameter-Varying systems☆
TL;DR: A bias-correction scheme for closed-loop identification of Linear Parameter-Varying Input–Output (LPV-IO) models, which aims at correcting the bias caused by the correlation between the input signal exciting the process and output noise.
Proceedings ArticleDOI
Regularized moving-horizon piecewise affine regression using mixed-integer quadratic programming
TL;DR: This paper presents a novel two-stage regularized moving-horizon algorithm for PieceWise Affine (PWA) regression, using linear multi-category discrimination techniques to compute a polyhedral partition of the regressor space based on the estimated sequence of active modes.
Journal ArticleDOI
Identification of hybrid and linear parameter‐varying models via piecewise affine regression using mixed integer programming
TL;DR: A two-stage algorithm for piecewise affine (PWA) regression that is adapted to the identification of PWA AutoRegressive with eXogenous input (PWARX) models as well as linear parameter-varying (LPV) models.
Proceedings ArticleDOI
Robust tube based MPC for PVTOL trajectory tracking using systems flatness property
TL;DR: In this paper, a tube based MPC strategy for robust tracking control of PVTOL aircraft is presented, where the flatness property of the system is used to obtain the dynamics in terms of flat outputs.