Results 51 to 60 of about 5,917,172 (242)

Koopman Kalman Particle Filter for Dynamic State Estimation of Distribution System

open access: yesIEEE 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
doaj   +1 more source

Thompson aggregators, Scott continuous Koopmans operators, and Least Fixed Point theory

open access: yesMathematical Social Sciences, 2021
We reconsider the theory of Thompson aggregators proposed by Marinacci and Montrucchio (Marinacci and Montrucchio, 2010). We prove the existence of a Least Fixed Point (LFP) solution to the Koopmans equation. It is a recursive utility function. Our proof turns on demonstrating the Koopmans operator is a Scott continuous function when its domain is an ...
Robert A. Becker   +1 more
openaire   +3 more sources

Deep learning for Koopman operator approximations for control

open access: yes, 2021
The focus of this thesis is on combining the potential of Koopman operator theory with that of deep learning. This research topic has gained more and more interest in the scientific community in the last few years and is appealing for its great potential
Hader, Magdalena
core   +2 more sources

Uncertainty Quantification of Autoencoder-based Koopman Operator [PDF]

open access: yes, 2023
This paper proposes a method for uncertainty quantification of an autoencoder-based Koopman operator. The main challenge of using the Koopman operator is to design the basis functions for lifting the state.
Quan, Ying Shuai   +2 more
core   +1 more source

Inverted Gaussian Process Optimization for Probabilistic Koopman Operator Discovery

open access: yesIEEE Access
Koopman Operator theory opens the door for application of rich linear systems theory to data-driven modeling and control of nonlinear dynamic systems.
Abhigyan Majumdar   +2 more
doaj   +1 more source

Koopman operator theory and dynamic mode decomposition in data-driven science and engineering: A comprehensive review

open access: yesMathematical Modelling and Numerical Simulation with Applications
Poincaré's geometric representation, while historically fundamental in dynamical system analysis, faces challenges with high-dimensional and uncertain systems in modern engineering and data analysis.
Ramen Ghosh, Marion Mcafee
semanticscholar   +1 more source

Decentralized Stability Enhancement of DFIG-Based Wind Farms in Large Power Systems: Koopman Theoretic Approach

open access: yesIEEE Access, 2022
This paper proposes a data-centric model predictive control (MPC) for supplemental control of a DFIG-based wind farm (WF) to improve power system stability.
Ahmed Husham   +3 more
doaj   +1 more source

Does Participating in Agricultural Global Value Chains Promote Agricultural Growth?

open access: yesAgribusiness, EarlyView.
ABSTRACT This study examines the relationship between GVC participation and agricultural value‐added growth in 43 countries over the period 1995–2022. In contrast to prior literature, we disaggregate the agricultural sector into four sub‐sectors namely crop cultivation, animal production, forestry and fishing.
Taner Turan   +2 more
wiley   +1 more source

Randomized Projection Learning Method for Dynamic Mode Decomposition

open access: yesMathematics, 2021
A data-driven analysis method known as dynamic mode decomposition (DMD) approximates the linear Koopman operator on a projected space. In the spirit of Johnson–Lindenstrauss lemma, we will use a random projection to estimate the DMD modes in a reduced ...
Sudam Surasinghe, Erik M. Bollt
doaj   +1 more source

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