M. Mejari

Latest

• Shedding light on the ageing of extra virgin olive oil: Probing the impact of temperature with fluorescence spectroscopy and machine learning techniques
• Data-Driven Synthesis of Configuration-Constrained Robust Invariant Sets for Linear Parameter-Varying Systems
• Direct Data-Driven Computation of Polytopic Robust Control Invariant Sets and State-Feedback Controllers
• Direct identification of continuous-time linear switched state-space models
• Variational autoencoder for the identification of piecewise models
• Data-Driven Computation of Robust Invariant Sets and Gain-Scheduled Controllers for Linear Parameter-Varying Systems
• Parameter dependent robust control invariant sets for LPV systems with bounded parameter variation rate
• Computation of Parameter Dependent Robust Invariant Sets for LPV Models with Guaranteed Performance
• Variational autoencoder for the identification of piecewise models
• Data-driven statistical analysis for discharge position prediction on Wire EDM
• Learning neural state-space models: do we need a state estimator?
• Direct identification of continuous-time LPV state-space models via an integral architecture
• Maximum—A-Posteriori Estimation of Linear Time-Invariant State-Space Models via Efficient Monte-Carlo Sampling
• Learning dynamical systems from quantized observations: a Bayesian perspective
• An integral architecture for identification of continuous-time state-space LPV models
• Deep learning with transfer functions: new applications in system identification
• Shrinkage Strategies for Structure Selection and Identification of Piecewise Affine Models
• Identification of hybrid and linear parameter‐varying models via piecewise affine regression using mixed integer programming
• A Bias-Correction Approach for the Identification of Piecewise Affine Output-Error Models
• Recursive Bias-Correction Method for Identification of Piecewise Affine Output-Error Models
• Consistent and computationally efficient estimation for stochastic LPV state-space models: realization based approach
• Realization and identification algorithm for stochastic LPV state-space models with exogenous inputs
• Kernelized Identification of Linear Parameter-Varying Models with Linear Fractional Representation
• Energy Disaggregation using Piecewise Affine Regression and Binary Quadratic Programming
• Regularized Moving-Horizon PWA Regression for LPV System Identification
• A bias-correction method for closed-loop identification of Linear Parameter-Varying systems
• LPV Model Order Selection from Noise-corrupted Output and Scheduling Signal Measurements
• Regularized moving-horizon piecewise affine regression using mixed-integer quadratic programming
• Improving Lifetime of Fuel Cell in Hybrid Energy Management System by Lure–Lyapunov-Based Control Formulation
• Regularized least square support vector machines for order and structure selection of LPV-ARX models