Results 51 to 60 of about 5,917,172 (242)
Koopman Kalman Particle Filter for Dynamic State Estimation of Distribution System
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
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
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]
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
Koopman Operator Theory for Nonlinear Dynamic Modeling using Dynamic Mode Decomposition
8 pages, 16 ...
Gregory Snyder, Zhuoyuan Song
openaire +2 more sources
Inverted Gaussian Process Optimization for Probabilistic Koopman Operator Discovery
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
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
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?
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
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

