To explore and verify the optimal algorithms and parameters for the startup process of hydraulic turbines, multiple multi-objective optimization strategies are ...
The Koopman framework proposes a linear representation of finite-dimensional nonlinear systems through a generally infinite-dimensional globally linear ...
Feb 16, 2022 · Abstract:Recently Koopman operator has become a promising data-driven tool to facilitate real-time control for unknown nonlinear systems.
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Nov 18, 2020 · There is this idea of Koopman operator: you try to write a finite nonlinear systems as a linear system of infinite dimension. There are people ...
Apr 1, 2024 · In discrete time (DT), the derivation of Koopman models is not as straightforward even for linear input and control-affine nonlinear systems due ...
The Koopman operator offers effective methods to characterize a nonlinear system in terms of stability. [9] and linearization [10]. The global stability ...
We present an analytical and computational framework using the theory of Koopman operator to design dual-mode model predictive control (MPC) for nonlinear ...
Aug 31, 2022 · This paper utilizes Koopman operator theory to generate robust optimal control laws for nonlinear systems with control-dependent noise.
Abstract. This paper presents a class of linear predictors for nonlinear controlled dynamical systems. The basic idea is to lift (or embed) the nonlinear ...
The Koopman operator allows for handling nonlinear systems through a globally linear representation. In general, the operator is infinite-dimensional ...