1 citations · 4 across the 13 of their papers we have counts for
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Uncertainty Modelling and Robust Observer Synthesis using the Koopman Operator
Steven Dahdah, James Richard Forbes
This paper proposes a robust nonlinear observer synthesis method for a population of systems modelled using the Koopman operator. The Koopman operator allows nonlinear systems to b…
Asymptotically Stable Data-Driven Koopman Operator Approximation with Inputs using Total Extended DMD
Louis Lortie, James Richard Forbes
The Koopman operator framework can be used to identify a data-driven model of a nonlinear system. Unfortunately, when the data is corrupted by noise, the identified model can be bi…
A Hessian for Gaussian Mixture Likelihoods in Nonlinear Least Squares
Vassili Korotkine, Mitchell Cohen, James Richard Forbes
This paper proposes a novel Hessian approximation for Maximum a Posteriori estimation problems in robotics involving Gaussian mixture likelihoods. Previous approaches manipulate th…
Forward-Backward Extended DMD with an Asymptotic Stability Constraint
Louis Lortie, Steven Dahdah, James Richard Forbes
This paper presents a data-driven method to identify an asymptotically stable Koopman system from noisy data. In particular, the proposed approach combines approximations of the sy…