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Maarten Schoukens

  1. Koopman Form of Nonlinear Systems with Inputs
    2022/07/25 by Lucian Cristian Iacob, Iacob, Lucian Cristian, Roland Tóth +3 · 11 citations
    Physics and Astronomy · #FOS: Electrical engineering #Model Reduction and Neural Networks #Systems and Control (eess.SY) #electronic engineering #information engineering
  2. Koopman Data-Driven Predictive Control with Robust Stability and Recursive Feasibility Guarantees
    2024/05/02 by Thomas Geert de Jong, Valentina Breschi, de Jong, Thomas +5 · 5 citations
    Engineering · #Advanced Control Systems Optimization #Fault Detection and Control Systems #Control Systems and Identification
  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. Physics-Informed Learning Using Hamiltonian Neural Networks with Output Error Noise Models
    2023/05/02 by Sarvin Moradi, Moradi, Sarvin, Nick O. Jaensson +5 · 2 citations
    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
  5. 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
  6. Identification of the nonlinear steering dynamics of an autonomous vehicle
    2021/05/10 by Gábor Rödönyi, Gerben I. Beintema, Rödönyi, G. +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
  7. Continuous-time identification of dynamic state-space models by deep subspace encoding
    2022/04/20 by Gerben I. Beintema, Maarten Schoukens, Beintema, Gerben I. +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
  8. Physics-Guided State-Space Model Augmentation Using Weighted Regularized Neural Networks
    2024/05/16 by Yuhan Liu, Liu, Yuhan, Roland Tóth +3 · 2 citations
    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
  9. Computationally efficient predictive control based on ANN state-space models
    2023/03/30 by Jan H. Hoekstra, Hoekstra, Jan H., Bence Cseppentő +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
  10. Space-Filling Input Design for Nonlinear State-Space Identification
    2024/05/28 by Máté Kiss, Kiss, Máté, Roland Tóth +3 · 1 citation
    Engineering · #FOS: Electrical engineering #Fault Detection and Control Systems #Systems and Control (eess.SY) #electronic engineering #information engineering
  11. Online learning of neural state-space models
    2026/07/20 by Bendegúz Györök, Tamás Péni, Maarten Schoukens +1
    #eess.SY #cs.LG #cs.SY