World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
33
Citations
4418
World Ranking
6097
National Ranking
72

Best Publications

  • Modeling and Identification of Linear Parameter-Varying Systems

    Unknown

  • SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation

    Unknown

  • Refined instrumental variable methods for identification of LPV Box-Jenkins models

    Vincent Laurain;Marion Gilson;Roland Tóth;Hugues Garnier

  • On the State-Space Realization of LPV Input-Output Models: Practical Approaches

    R. Toth;H. S. Abbas;H. Werner

  • Discrete time LPV I/O and state space representations, differences of behavior and pitfalls of interpolation

    Roland Toth;Federico Felici;Peter S. C. Heuberger;Paul M. J. Van den Hof

  • A review on data-driven linear parameter-varying modeling approaches: A high-purity distillation column case study

    A.A. Bachnas;R. Tóth;J.H.A. Ludlage;A. Mesbah

  • Asymptotically optimal orthonormal basis functions for LPV system identification

    Roland Tóth;Peter S. C. Heuberger;Paul M. J. Van den Hof

  • Direct learning of LPV controllers from data

    Simone Formentin;Dario Piga;Roland Tóth;Sergio M. Savaresi

  • The Behavioral Approach to Linear Parameter-Varying Systems

    R. Toth;J. C. Willems;P. S. C. Heuberger;P. M. J. Van den Hof

  • Instrumental variable scheme for closed-loop LPV model identification

    Roland TóTh;Vincent Laurain;Marion Gilson;Hugues Garnier

  • Discretisation of linear parameter-varying state-space representations

    Unknown

  • Model structure learning: A support vector machine approach for LPV linear-regression models

    Roland Toth;Vincent Laurain;Wei Xing Zheng;Kameshwar Poolla

  • Compressive System Identification of LTI and LTV ARX models

    Borhan M. Sanandaji;Tyrone L. Vincent;Michael B. Wakin;Roland Toth

  • Linear parameter-varying subspace identification: A unified framework

    Unknown

  • LPV system identification under noise corrupted scheduling and output signal observations

    Unknown

  • Crucial Aspects of Zero-Order Hold LPV State-Space System Discretization ⋆

    Unknown

  • Data-Driven Predictive Control for Linear Parameter-Varying Systems

    Unknown

  • Compressive System Identification in the Linear Time-Invariant framework

    Roland Toth;Borhan M. Sanandaji;Kameshwar Poolla;Tyrone L. Vincent

  • Sparse Estimation of Polynomial and Rational Dynamical Models

    Cristian R. Rojas;Roland Toth;Hakan Hjalmarsson

  • State-space LPV model identification using kernelized machine learning

    Syed Zeeshan Rizvi;Javad Mohammadpour Velni;Farshid Abbasi;Roland Roland Tóth

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