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eess.SY2026
Koopman operator theory: fundamentals, control, and applications
Igor Mezić, Jorge Cortés, Karl Worthmann +2
The Koopman operator has gained considerable attention due to its ability to provide a global linear representation of highly complex dynamical systems. The operator describes nonl…
cs.LG2026
PE-MHL: Physics-Encoded Modular Hybrid Layers for Scalable Learning of Complex Systems
Ismail Hassaballa, Mircea Lazar
Hybrid models that combine physics-based and data-driven components have shown strong potential for achieving accuracy and interpretability in control applications. While recent me…
math.OC2026
Koopman operator learning for predictive control via Khatri-Rao kernel regression
Mircea Lazar
This paper develops a data-driven realization of the generalized Koopman operator (GeKo) [1], in which states and inputs are lifted independently and the dynamics are expressed as…