Nonlinear model predictive control of PVTOL aircraft under state and input constraints. - Ankit Gupta 005; Manas Mejari; Vishwanath Ketkar; Mandar Datar 001; Navdeep M. Singh (AIR, 2013)

Trajectory Tracking of Quadrotor with Bounded Thrust using Model Predictive Control. - Manas Mejari; Ankit Gupta 005; Navdeep M. Singh; Faruk Kazi 001 (AIR, 2013)

Regularized least square support vector machines for order and structure selection of LPV-ARX models. - Manas Mejari; Dario Piga; Alberto Bemporad (ECC, 2016)

Regularized moving-horizon piecewise affine regression using mixed-integer quadratic programming. - Vihangkumar V. Naik; Manas Mejari; Dario Piga; Alberto Bemporad (MED, 2017)

Improving Lifetime of Fuel Cell in Hybrid Energy Management System by Lure-Lyapunov-Based Control Formulation. - Sneha Mane; Manas Mejari; Faruk Kazi 001; Navdeep M. Singh (IEEE Trans. Ind. Electron., 2017)

Energy Disaggregation using Piecewise Affine Regression and Binary Quadratic Programming. - Manas Mejari; Vihangkumar V. Naik; Dario Piga; Alberto Bemporad (CDC, 2018)

A bias-correction method for closed-loop identification of Linear Parameter-Varying systems. - Manas Mejari; Dario Piga; Alberto Bemporad (Autom., 2018)

Consistent and computationally efficient estimation for stochastic LPV state-space models: realization based approach. - Manas Mejari; Mihály Petreczky (CDC, 2019)

Kernelized Identification of Linear Parameter-Varying Models with Linear Fractional Representation. - Manas Mejari; Dario Piga; Roland Tóth; Alberto Bemporad (ECC, 2019)

Realization and identification algorithm for stochastic LPV state-space models with exogenous inputs. - Manas Mejari; Mihály Petreczky (CoRR, 2019)

Shrinkage Strategies for Structure Selection and Identification of Piecewise Affine Models. - Valentina Breschi; Manas Mejari (CDC, 2020)

Recursive Bias-Correction Method for Identification of Piecewise Affine Output-Error Models. - Manas Mejari; Valentina Breschi; Dario Piga (IEEE Control. Syst. Lett., 2020)

Deep learning with transfer functions: new applications in system identification. - Dario Piga; Marco Forgione; Manas Mejari (CoRR, 2021)

Direct identification of continuous-time LPV state-space models via an integral architecture. - Manas Mejari; Bojan Mavkov; Marco Forgione; Dario Piga (Autom., 2022)

Learning neural state-space models: do we need a state estimator? - Marco Forgione; Manas Mejari; Dario Piga (CoRR, 2022)

Direct identification of continuous-time linear switched state-space models. - Manas Mejari; Dario Piga (CoRR, 2022)

Learning Dynamical Systems From Quantized Observations: A Bayesian Perspective. - Dario Piga; Manas Mejari; Marco Forgione (IEEE Trans. Autom. Control., 2022)

Direct Data-Driven Computation of Polytopic Robust Control Invariant Sets and State-Feedback Controllers. - Manas Mejari; Ankit Gupta 005 (CDC, 2023)

Computation of parameter dependent robust invariant sets for LPV models with guaranteed performance. - Ankit Gupta 005; Manas Mejari; Paolo Falcone; Dario Piga (Autom., 2023)

Shedding Light on the Ageing of Extra Virgin Olive Oil: Probing the Impact of Temperature with Fluorescence Spectroscopy and Machine Learning Techniques. - Francesca Venturini; Silvan Fluri; Manas Mejari; Michael Baumgartner 002; Dario Piga; Umberto Michelucci (CoRR, 2023)

Data-Driven Computation of Robust Invariant Sets and Gain-Scheduled Controllers for Linear Parameter-Varying Systems. - Manas Mejari; Ankit Gupta 005; Dario Piga (IEEE Control. Syst. Lett., 2023)

Data-Driven Synthesis of Configuration-Constrained Robust Invariant Sets for Linear Parameter-Varying Systems. - Manas Mejari; Sampath Kumar Mulagaleti; Alberto Bemporad (IEEE Control. Syst. Lett., 2023)

Model order reduction of deep structured state-space models: A system-theoretic approach. - Marco Forgione; Manas Mejari; Dario Piga (CDC, 2024)

Synthetic data generation for system identification: leveraging knowledge transfer from similar systems. - Dario Piga; Matteo Rufolo; Gabriele Maroni; Manas Mejari; Marco Forgione (CDC, 2024)

Minimal covariance realization and system identification algorithm for a class of stochastic linear switched systems with i.i.d. switching. - Elie Rouphael; Manas Mejari; Mihály Petreczky; Lotfi Belkoura (CDC, 2024)

Bias correction and instrumental variables for direct data-driven model-reference control. - Manas Mejari; Valentina Breschi; Simone Formentin; Dario Piga (CoRR, 2024)

Direct Data-Driven Design of LPV Controllers and Polytopic Invariant Sets With Cross-Covariance Noise Bounds. - Manas Mejari; Valentina Breschi (IEEE Control. Syst. Lett., 2024)

Toward Stochastic Realization Theory for Generalized Linear Switched Systems With Inputs: Decomposition Into Stochastic and Deterministic Components and Existence and Uniqueness of Innovation Form. - Elie Rouphael; Manas Mejari; Mihály Petreczky; Lotfi Belkoura (IEEE Control. Syst. Lett., 2024)

Parameter-Dependent Robust Control Invariant Sets for LPV Systems With Bounded Parameter-Variation Rate. - Sampath Kumar Mulagaleti; Manas Mejari; Alberto Bemporad (IEEE Trans. Autom. Control., 2025)

Learning Low-Dimensional Embeddings for Black-Box Optimization. - Riccardo Busetto; Manas Mejari; Marco Forgione; Alberto Bemporad; Dario Piga (CoRR, 2025)