Results 151 to 160 of about 1,063,107 (310)
CAAI Transactions on Intelligence TechnologyAlthough previous studies have made some clear leap in learning latent dynamics from high‐dimensional representations, the performances in terms of accuracy and inference time of long‐term model prediction still need to be improved. In this study, a deep
Yongqian Xiao +4 more
doaj +1 more source
Koopman Spectral Linearization vs. Carleman Linearization: A Computational Comparison Study
MathematicsNonlinearity presents a significant challenge in developing quantum algorithms involving differential equations, prompting the exploration of various linearization techniques, including the well-known Carleman Linearization.
Dongwei Shi, Xiu Yang
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Koopman operator-based multi-model for predictive control
Nonlinear dynamicsThis work describes a new model structure developed for prediction in Model Predictive Control (MPC). The model has a multi-model structure in which independent sub-models are employed for the consecutive sampling instants. The model lifts process states
M. Ławryńczuk
semanticscholar +1 more source
The Effect of Sensor Fusion on Data-Driven Learning of Koopman Operators
, 2021 Shara Balakrishnan +3 more
openalex +2 more sources
Problems and Solutions in the Knowledge Economy: Ideational Power in Slow‐Burning Crises
Regulation &Governance, EarlyView.ABSTRACT Societies are grappling with uncertainty about how to adapt to the emerging knowledge economy. Drawing on the public policy literature, we propose a new approach to studying the politics of ideas during long‐term structural changes. We depart from existing scholarship that focuses on the politics of ideas during episodic crises, and instead ...
Martin B. Carstensen +2 more
wiley +1 more source
Koopman fault‐tolerant model predictive control
IET Control Theory & ApplicationsThis paper introduces a novel data‐driven approach to develop a fault‐tolerant model predictive controller (MPC) for non‐linear systems. By adopting a Koopman operator‐theoretic perspective, the proposed method leverages historical data from the system ...
Mohammadhosein Bakhtiaridoust +2 more
doaj +1 more source
Bridging Koopman Operator and Time-Series Auto-Correlation Based Hilbert–Schmidt Operator [PDF]
, 2022 Yicun Zhen +2 more
openalex +1 more source
Tensor network approximation of Koopman operators
We propose a tensor network framework for approximating the evolution of observables of measure-preserving ergodic systems. Our approach is based on a spectrally-convergent approximation of the skew-adjoint Koopman generator by a diagonalizable, skew-adjoint operator $W_τ$ that acts on a reproducing kernel Hilbert space $\mathcal H_τ$ with coalgebra ...
Giannakis, Dimitrios +5 more
openaire +2 more sources
Experimental Physiology, EarlyView.Abstract This study investigated whether performing a translatable murine model of concurrent training after tumour induction affects adaptations in juvenile male and female tumour‐bearing mice. Male and female Balb/c mice were injected bilaterally with colon‐26 adenocarcinoma (C26) cells or PBS at 8 weeks of age.
Stavroula Tsitkanou +10 more
wiley +1 more source