Results 61 to 70 of about 903 (207)
Optimality Deviation using the Koopman Operator
This paper investigates the impact of approximation error in data-driven optimal control problem of nonlinear systems while using the Koopman operator. While the Koopman operator enables a simplified representation of nonlinear dynamics through a lifted state space, the presence of approximation error inevitably leads to deviations in the computed ...
Yicheng Lin +4 more
openaire +3 more sources
ABSTRACT There is increasing interest in understanding and recognition of the importance of empathy effects at work. However, despite the two‐party nature of empathy, little research has distinguished between empathy‐giving versus empathy‐receiving, or between empathy‐giver versus receiver.
Xiaoxiao Jiang +3 more
wiley +1 more source
Data-Driven Dynamic State Estimation Framework Using a Koopman Operator-Based Linear Predictor
Dynamic 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
ABSTRACT Research has increasingly highlighted the prevalence of emotionally ambivalent experiences for employees at work, with several self‐regulatory benefits emerging. Yet we do not have a full understanding of which work‐related contexts yield generative or maladaptive consequences of emotional ambivalence.
David F. Arena Jr. +4 more
wiley +1 more source
Glocal Hypergradient Estimation with Koopman Operator
Gradient-based hyperparameter optimization methods update hyperparameters using hypergradients, gradients of a meta criterion with respect to hyperparameters. Previous research used two distinct update strategies: optimizing hyperparameters using global hypergradients obtained after completing model training or local hypergradients derived after every ...
Ryuichiro Hataya, Yoshinobu Kawahara
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ABSTRACT Visionary leadership is widely regarded as an effective tool for motivating followers. However, two influential theories make opposing predictions about what happens when women enact agentic leadership behavior. Role congruity theory predicts that such behavior can produce backlash effects, whereas expectancy violation theory predicts ...
Martin Buss +2 more
wiley +1 more source
Functional dimensionality of Koopman eigenfunction space
This work presents the general form solution of Koopman Partial Differential Equation for an autonomous system of N ordinary differential equations. We identify a domain in RN for which any number in the complex plane is an eigenvalue of the Koopman ...
Ido Cohen +2 more
doaj +1 more source
Physics Informed Fully Embedded Koopman Operator-based Optimal Control of Two-Link Robotic System [PDF]
This paper presents a data-driven framework utilising neural networks to approximate the Koopman operator for a discrete-time representation of an electrically actuated two-link mechanical system, enabling the application of linear control techniques.
Jeppe H. Andersen +3 more
doaj +1 more source
Boundedness of Composition Operators in Orlicz–Morrey Spaces
ABSTRACT In this paper, we investigate the necessary and sufficient conditions for the boundedness of composition operators on Orlicz–Morrey spaces. Our results encompass Lebesgue and generalized Morrey spaces as special cases. In addition, we characterize the boundedness of composition operators on weak Orlicz–Morrey spaces, which include the Orlicz ...
Masahiro Ikeda +2 more
wiley +1 more source
Nonparametric Control Koopman Operators [PDF]
This paper presents a novel Koopman composition operator representation framework for control systems in reproducing kernel Hilbert spaces (RKHSs) that is free of explicit dictionary or input parametrizations. By establishing fundamental equivalences between different model representations, we are able to close the gap of control system operator ...
Bevanda, Petar +5 more
openaire +2 more sources

