Manas Mejari

Orcid: 0000-0002-0641-1156

According to our database1, Manas Mejari authored at least 27 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

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.
IEEE Control. Syst. Lett., 2024

Direct Data-Driven Design of LPV Controllers and Polytopic Invariant Sets With Cross-Covariance Noise Bounds.
IEEE Control. Syst. Lett., 2024

Model order reduction of deep structured state-space models: A system-theoretic approach.
CoRR, 2024

Synthetic data generation for system identification: leveraging knowledge transfer from similar systems.
CoRR, 2024

2023
Data-Driven Synthesis of Configuration-Constrained Robust Invariant Sets for Linear Parameter-Varying Systems.
IEEE Control. Syst. Lett., 2023

Data-Driven Computation of Robust Invariant Sets and Gain-Scheduled Controllers for Linear Parameter-Varying Systems.
IEEE Control. Syst. Lett., 2023

Shedding Light on the Ageing of Extra Virgin Olive Oil: Probing the Impact of Temperature with Fluorescence Spectroscopy and Machine Learning Techniques.
CoRR, 2023

Parameter Dependent Robust Control Invariant Sets for LPV Systems with Bounded Parameter Variation Rate.
CoRR, 2023

Computation of parameter dependent robust invariant sets for LPV models with guaranteed performance.
Autom., 2023

Direct Data-Driven Computation of Polytopic Robust Control Invariant Sets and State-Feedback Controllers.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Learning Dynamical Systems From Quantized Observations: A Bayesian Perspective.
IEEE Trans. Autom. Control., 2022

Direct identification of continuous-time linear switched state-space models.
CoRR, 2022

Learning neural state-space models: do we need a state estimator?
CoRR, 2022

Direct identification of continuous-time LPV state-space models via an integral architecture.
Autom., 2022

2021
Deep learning with transfer functions: new applications in system identification.
CoRR, 2021

2020
Recursive Bias-Correction Method for Identification of Piecewise Affine Output-Error Models.
IEEE Control. Syst. Lett., 2020

Shrinkage Strategies for Structure Selection and Identification of Piecewise Affine Models.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Realization and identification algorithm for stochastic LPV state-space models with exogenous inputs.
CoRR, 2019

Kernelized Identification of Linear Parameter-Varying Models with Linear Fractional Representation.
Proceedings of the 17th European Control Conference, 2019

Consistent and computationally efficient estimation for stochastic LPV state-space models: realization based approach.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
A bias-correction method for closed-loop identification of Linear Parameter-Varying systems.
Autom., 2018

Energy Disaggregation using Piecewise Affine Regression and Binary Quadratic Programming.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Improving Lifetime of Fuel Cell in Hybrid Energy Management System by Lure-Lyapunov-Based Control Formulation.
IEEE Trans. Ind. Electron., 2017

Regularized moving-horizon piecewise affine regression using mixed-integer quadratic programming.
Proceedings of the 25th Mediterranean Conference on Control and Automation, 2017

2016
Regularized least square support vector machines for order and structure selection of LPV-ARX models.
Proceedings of the 15th European Control Conference, 2016

2013
Trajectory Tracking of Quadrotor with Bounded Thrust using Model Predictive Control.
Proceedings of the Advances In Robotics 2013, 2013

Nonlinear model predictive control of PVTOL aircraft under state and input constraints.
Proceedings of the Advances In Robotics 2013, 2013


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