Roland Tóth

1. SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation
   2020/02/24 by Zechen Liu, Liu, Zechen, Zizhang Wu +3 · 14 citations
   Computer Science · Engineering · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Robotics and Sensor-Based Localization #Visual Attention and Saliency Detection
2. Koopman Form of Nonlinear Systems with Inputs
   2022/07/25 by Lucian Cristian Iacob, Iacob, Lucian Cristian, Roland Tóth +3 · 10 citations
   Physics and Astronomy · #FOS: Electrical engineering #Model Reduction and Neural Networks #Systems and Control (eess.SY) #electronic engineering #information engineering
3. Deep Subspace Encoders for Nonlinear System Identification
   2022/10/26 by Gerben I. Beintema, Maarten Schoukens, Beintema, Gerben I. +3 · 4 citations
   Engineering · #Control Systems and Identification #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Fault Diagnosis Techniques #Machine Learning (cs.LG) #Structural Health Monitoring Techniques #Systems and Control (eess.SY) #electronic engineering #information engineering
4. A Linear Parameter-Varying Approach to Data Predictive Control
   2023/11/13 by Chris Verhoek, Verhoek, Chris, Julian Berberich +7 · 4 citations
   Engineering · #Advanced Control Systems Optimization #Control Systems and Identification #FOS: Electrical engineering #Fault Detection and Control Systems #Systems and Control (eess.SY) #electronic engineering #information engineering
5. Data-Driven Dissipativity Analysis of Linear Parameter-Varying Systems
   2024/06/21 by Chris Verhoek, Julian Berberich, Sofie Haesaert +2 · 3 citations
   Physics and Astronomy · Engineering · #Model Reduction and Neural Networks #Fault Detection and Control Systems #Hydraulic and Pneumatic Systems
6. Linear Parameter-Varying Subspace Identification: A Unified Framework
   2020/08/07 by Pepijn B. Cox, Cox, P. B., Roland Tóth +1 · 1 citation
   Decision Sciences · Engineering · #Control Systems and Identification #FOS: Electrical engineering #Fault Detection and Control Systems #Probabilistic and Robust Engineering Design #Systems and Control (eess.SY) #electronic engineering #information engineering
7. Heterogeneously parameterized tube model predictive control for LPV\n systems
   2019/10/18 by Jurre Hanema, Hanema, Jurre, Mircea Lazar +3 · 1 citation
   Engineering · Medicine · #Advanced Control Systems Optimization #Cardiovascular Function and Risk Factors #FOS: Electrical engineering #FOS: Mathematics #Fuel Cells and Related Materials #Optimization and Control (math.OC) #Systems and Control (eess.SY) #electronic engineering #information engineering
8. Baseline Results for Selected Nonlinear System Identification Benchmarks
   2024/05/17 by Max D. Champneys, Gerben I. Beintema, Champneys, Max D. +7 · 2 citations
   Engineering · Computer Science · #Control Systems and Identification #Sensor Technology and Measurement Systems
9. Identification of the nonlinear steering dynamics of an autonomous vehicle
   2021/05/10 by Gábor Rödönyi, Rödönyi, G., Gerben I. Beintema +17 · 1 citation
   Computer Science · Engineering · #Control Systems and Identification #FOS: Computer and information sciences #FOS: Electrical engineering #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Real-time simulation and control systems #Systems and Control (eess.SY) #electronic engineering #information engineering
10. LPVcore: MATLAB Toolbox for LPV Modelling, Identification and Control
    2021/05/08 by Pascal den Boef, Pepijn B. Cox, Boef, P. den +3 · 1 citation
    Computer Science · Engineering · #Control Systems and Identification #FOS: Electrical engineering #Gaussian Processes and Bayesian Inference #Real-time simulation and control systems #Systems and Control (eess.SY) #electronic engineering #information engineering
11. Online Learning of Interaction Dynamics with Dual Model Predictive Control for Multi-Agent Systems Using Gaussian Processes
    2024/08/31 by T. M. J. T. Baltussen, Baltussen, T. M. J. T., Alexander Katriniok +7 · 2 citations
    Computer Science · Engineering · #Advanced Control Systems Optimization #FOS: Mathematics #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference #Optimization and Control (math.OC)
12. Continuous-time identification of dynamic state-space models by deep subspace encoding
    2022/04/20 by Gerben I. Beintema, Beintema, Gerben I., Maarten Schoukens +3 · 1 citation
    Engineering · Physics and Astronomy · #Control Systems and Identification #FOS: Computer and information sciences #FOS: Electrical engineering #Fault Detection and Control Systems #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Systems and Control (eess.SY) #electronic engineering #information engineering
13. Autonomous Hook-Based Grasping and Transportation with Quadcopters
    2023/04/05 by Antal, Péter, Tamás Péni, Roland Tóth +2 · 1 citation
    Computer Science · Engineering · #Adaptive Control of Nonlinear Systems #Control and Dynamics of Mobile Robots #FOS: Computer and information sciences #FOS: Electrical engineering #Robotic Path Planning Algorithms #Robotics (cs.RO) #Systems and Control (eess.SY) #electronic engineering #information engineering
14. Learning For Predictive Control: A Dual Gaussian Process Approach
    2022/11/07 by Yuhan Liu, Liu, Yuhan, Pengyu Wang +3 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Advanced Control Systems Optimization #FOS: Electrical engineering #Gaussian Processes and Bayesian Inference #Gene Regulatory Network Analysis #Systems and Control (eess.SY) #electronic engineering #information engineering
15. Physics-Informed Learning Using Hamiltonian Neural Networks with Output Error Noise Models
    2023/05/02 by Sarvin Moradi, Nick O. Jaensson, Moradi, Sarvin +5 · 1 citation
    Engineering · Materials Science · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Electrical engineering #Fuel Cells and Related Materials #Machine Learning (cs.LG) #Machine Learning in Materials Science #Model Reduction and Neural Networks #Systems and Control (eess.SY) #electronic engineering #information engineering
16. Curve Trajectory Model for Human Preferred Path Planning of Automated Vehicles
    2023/10/04 by Gergő Ferenc Ignéczi, Igneczi, Gergo, Ernő Horváth +5 · 1 citation
    Engineering · Computer Science · #Autonomous Vehicle Technology and Safety #Robotic Path Planning Algorithms #Traffic Prediction and Management Techniques
17. Computationally efficient predictive control based on ANN state-space models
    2023/03/30 by Jan H. Hoekstra, Bence Cseppentő, Hoekstra, Jan H. +9 · 1 citation
    Computer Science · Engineering · #Advanced Control Systems Optimization #FOS: Electrical engineering #Fuzzy Logic and Control Systems #Iterative Learning Control Systems #Systems and Control (eess.SY) #electronic engineering #information engineering
18. On the reduction of Linear Parameter-Varying State-Space models
    2024/04/02 by E. Javier Olucha, Olucha, E. Javier, Bogoljub Terzin +5 · 1 citation
    Engineering · #Advanced Data Processing Techniques #FOS: Electrical engineering #Systems and Control (eess.SY) #electronic engineering #information engineering
19. Computationally Efficient Sampling-Based Algorithm for Stability Analysis of Nonlinear Systems
    2024/05/22 by Tamás Péni, Antal, Péter, Roland Tóth +2 · 1 citation
    Engineering · #Advanced Algorithms and Applications #Control Systems and Identification #FOS: Electrical engineering #Fault Detection and Control Systems #Systems and Control (eess.SY) #electronic engineering #information engineering
20. Physics-Guided State-Space Model Augmentation Using Weighted Regularized Neural Networks
    2024/05/16 by Yuhan Liu, Roland Tóth, Liu, Yuhan +3 · 1 citation
    Computer Science · Engineering · Physics and Astronomy · #FOS: Electrical engineering #Fault Detection and Control Systems #Model Reduction and Neural Networks #Neural Networks and Applications #Systems and Control (eess.SY) #electronic engineering #information engineering
21. A subspace approach to data-driven predictive control for linear parameter-varying systems
    2026/07/30 by Federico Porcari, Chris Verhoek, Valentina Breschi +2
    Engineering · Computer Science · #eess.SY #cs.SY
22. Online learning of neural state-space models
    2026/07/20 by Bendegúz Györök, Tamás Péni, Maarten Schoukens +1
    #eess.SY #cs.LG #cs.SY