Results 91 to 100 of about 1,063,107 (310)
CSEE Journal of Power and Energy SystemsThis paper presents an estimation of transient stability regions for large-scale power systems. In Part I, a Koopman operator based model reduction (KOMR) method is proposed to derive a low-order dynamical model with reasonable accuracy for transient ...
Yuqing Lin +4 more
doaj +1 more source
Data-Driven Fault Detection and Isolation for Multirotor System Using Koopman Operator
J. Intell. Robotic Syst.This paper presents a data-driven fault detection and isolation (FDI) for a multirotor system using Koopman operator and Luenberger observer. Koopman operator is an infinite-dimensional linear operator that can transform nonlinear dynamical systems into ...
Jayden Dongwoo Lee +4 more
semanticscholar +1 more source
A probabilistic diagnostic for Laplace approximations: Introduction and experimentation
Canadian Journal of Statistics, EarlyView.Abstract Many models require integrals of high‐dimensional functions: for instance, to obtain marginal likelihoods. Such integrals may be intractable, or too expensive to compute numerically. Instead, we can use the Laplace approximation (LA). The LA is exact if the function is proportional to a normal density; its effectiveness therefore depends on ...
Shaun McDonald, Dave Campbell
wiley +1 more source
Koopman Kalman Particle Filter for Dynamic State Estimation of Distribution System
IEEE Access, 2022 Dynamic state estimation (DSE) plays an important role in the real-time control and monitoring of distribution systems, which are high-dimensional space–time systems. The degree of nonlinearity of distribution system increases drastically with the
Kai Wang +4 more
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Estimation of Power System Inertia Using Nonlinear Koopman Modes
, 2018 We report a new approach to estimating power system inertia directly from time-series data on power system dynamics. The approach is based on the so-called Koopman Mode Decomposition (KMD) of such dynamic data, which is a nonlinear generalization of ...
Hamasaki, Ryo +2 more
core +1 more source
Convergence properties of dynamic mode decomposition for analytic interval maps
Communications on Pure and Applied Mathematics, EarlyView.Abstract Extended dynamic mode decomposition (EDMD) is a data‐driven algorithm for approximating spectral data of the Koopman operator associated to a dynamical system, combining a Galerkin method with N$N$ functions and a quadrature method with M$M$ quadrature nodes.
Elliz Akindji +3 more
wiley +1 more source
Approximate Reachability for Koopman Systems Using Mixed Monotonicity
IEEE Access, 2022 We present a data-driven method for computing reachable sets for unknown nonlinear dynamical systems using a Koopman operator based approach. We find mixed-monotone decompositions for a class of Koopman lifted dynamics.
Omanshu Thapliyal, Inseok Hwang
doaj +1 more source
, 2019 Understanding nonlinear dynamical systems (NLDSs) is challenging in a variety of engineering and scientific fields. Dynamic mode decomposition (DMD), which is a numerical algorithm for the spectral analysis of Koopman operators, has been attracting ...
94165 +3 more
core +1 more source
Measuring Currency Risk Premium: The Case of Turkey
International Journal of Finance &Economics, EarlyView.ABSTRACT This study examines the determinants of a change in currency expectations for the Turkish Lira (TL) versus the US dollar with different maturities (1 month, 3 months and 1 year). The risk premium is estimated using the interest rate differential and a latent component called the missing risk premium.
Idil Uz Akdogan +2 more
wiley +1 more source
Data-Driven Dynamic State Estimation Framework Using a Koopman Operator-Based Linear Predictor
IEEE AccessDynamic state estimation (DSE) is a fundamental task in many fields, including control systems, robotics, and signal processing. Traditional DSE methods, which rely on mathematical models to describe system dynamics, are often limited in their ...
Deyou Yang +4 more
doaj +1 more source