Publications

Please see my Google Scholar page for a complete list of publications

Journal Articles

  1. Recursive forward-backward EDMD: guaranteed algebraic search for Koopman invariant subspaces
    M. Haseli, J. Cortés
    IEEE Access, submitted

  2. Koopman operators in robot learning
    L. Shi, M. Haseli, G. Mamakoukas, D. Bruder, I. Abraham, T. Murphey, J. Cortés, K. Karydis
    IEEE Transactions on Robotics, submitted

  3. Invariance proximity: closed-form error bounds for finite-dimensional Koopman-based models
    M. Haseli, J. Cortés
    Systems and Control Letters, submitted

  4. Modeling nonlinear control systems via Koopman control family: universal forms and subspace invariance proximity
    M. Haseli, J. Cortés
    Automatica, submitted

  5. Generalizing dynamic mode decomposition: balancing accuracy and expressiveness in Koopman approximations
    M. Haseli, J. Cortés
    Automatica 153 (2023), 111001

  6. Temporal forward-backward consistency, not residual error, measures the prediction accuracy of extended dynamic mode decomposition
    M. Haseli, J. Cortés
    IEEE Control Systems Letters 7 (2023), 649-654

  7. Parallel learning of Koopman eigenfunctions and invariant subspaces for accurate long-term prediction
    M. Haseli, J. Cortés
    IEEE Transactions on Control of Network Systems 8 (4) (2021), 1833-1845

  8. Learning Koopman eigenfunctions and invariant subspaces from data: symmetric subspace decomposition
    M. Haseli, J. Cortés
    IEEE Transactions on Automatic Control 67 (7) (2022), 3442-3457

Conference Proceedings

  1. Temporal forward-backward consistency, not residual error, measures the prediction accuracy of extended dynamic mode decomposition
    M. Haseli, J. Cortés
    Proceedings of the American Control Conference, San Diego, 2023

  2. Data-driven approximation of Koopman-invariant subspaces with tunable accuracy
    M. Haseli, J. Cortés
    Proceedings of the American Control Conference, New Orleans, Louisiana, 2021, pp. 469-474
    \(\color{orange}{ \mathbf{2021 \ ACC \ Best \ Student \ Paper \ Award}}\)

  3. Fast identification of Koopman-invariant subspaces: parallel symmetric subspace decomposition
    M. Haseli, J. Cortés
    Proceedings of the American Control Conference, Denver, Colorado, 2020, pp. 4545-4550

  4. Efficient identification of linear evolutions in nonlinear vector fields: Koopman invariant subspaces
    M. Haseli, J. Cortés
    Proceedings of the IEEE Conference on Decision and Control, Nice, France, 2019, pp. 1746-1751

  5. Approximating the Koopman operator using noisy data: noise-resilient extended dynamic mode decomposition
    M. Haseli, J. Cortés
    Proceedings of the American Control Conference, Philadelphia, Pennsylvania, 2019, pp. 5499-5504

Thesis

  1. Data-Driven System Analysis Using the Koopman Operator: Eigenfunctions, Invariant Subspaces, and Accuracy Bounds
    M. Haseli
    University of California, San Diego, 2022
    \(\color{orange}{ \mathbf{2023 \ Robert \ Skelton \ Systems \ and \ Control \ Dissertation \ Award}}\)