Masih Haseli

According to our database, Masih Haseli authored at least 17 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Control Forward-Backward Consistency: Quantifying the Accuracy of Koopman Control Family Models.

Masih Haseli, Jorge Cortés, Joel W. Burdick

CoRR, March, 2026

On the Existence of Koopman Linear Embeddings for Controlled Nonlinear Systems.

Xu Shang, Masih Haseli, Jorge Cortés, Yang Zheng

CoRR, February, 2026

Koopman Operators in Robot Learning.

Lu Shi, Masih Haseli, Giorgos Mamakoukas, Daniel Bruder, Ian Abraham, Todd D. Murphey, Jorge Cortés, Konstantinos Karydis

IEEE Trans. Robotics, 2026

Modeling nonlinear control systems via Koopman Control Family: Universal forms and subspace invariance proximity.

Masih Haseli, Jorge Cortés

Autom., 2026

2025

Real-Time Learning of Predictive Dynamic Obstacle Models for Robotic Motion Planning.

Stella Kombo, Masih Haseli, Skylar Wei, Joel W. Burdick

CoRR, November, 2025

Two Roads to Koopman Operator Theory for Control: Infinite Input Sequences and Operator Families.

Masih Haseli, Igor Mezic, Jorge Cortés

CoRR, October, 2025

Recursive Forward-Backward EDMD: Guaranteed Algebraic Search for Koopman Invariant Subspaces.

Masih Haseli, Jorge Cortés

IEEE Access, 2025

Koopman Operator Extensions for Control: Bridging Infinite Input Sequences and Operator Families.

Masih Haseli, Igor Mezic, Jorge Cortés

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

2023

Temporal Forward-Backward Consistency, Not Residual Error, Measures the Prediction Accuracy of Extended Dynamic Mode Decomposition.

Masih Haseli, Jorge Cortés

IEEE Control. Syst. Lett., 2023

Invariance Proximity: Closed-Form Error Bounds for Finite-Dimensional Koopman-Based Models.

Masih Haseli, Jorge Cortés

CoRR, 2023

Generalizing dynamic mode decomposition: Balancing accuracy and expressiveness in Koopman approximations.

Masih Haseli, Jorge Cortés

Autom., 2023

2022

Learning Koopman Eigenfunctions and Invariant Subspaces From Data: Symmetric Subspace Decomposition.

Masih Haseli, Jorge Cortés

IEEE Trans. Autom. Control., 2022

2021

Parallel Learning of Koopman Eigenfunctions and Invariant Subspaces for Accurate Long-Term Prediction.

Masih Haseli, Jorge Cortés

IEEE Trans. Control. Netw. Syst., 2021

Data-Driven Approximation of Koopman-Invariant Subspaces with Tunable Accuracy.

Masih Haseli, Jorge Cortés

Proceedings of the 2021 American Control Conference, 2021

2020

Fast Identification of Koopman-Invariant Subspaces: Parallel Symmetric Subspace Decomposition.

Masih Haseli, Jorge Cortés

Proceedings of the 2020 American Control Conference, 2020

2019

Efficient Identification of Linear Evolutions in Nonlinear Vector Fields: Koopman Invariant Subspaces.

Masih Haseli, Jorge Cortés

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Approximating the Koopman Operator using Noisy Data: Noise-Resilient Extended Dynamic Mode Decomposition.

Masih Haseli, Jorge Cortés

Proceedings of the 2019 American Control Conference, 2019