Results 81 to 90 of about 472,452 (242)
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 A Cu(II) complex derived from a pyrimidine with the isatin group was synthesized and tested for its cytotoxic effects on A549 lung cancer and MCF‐7 breast cancer cell lines, as well as its effects on apoptosis‐associated cell death and cell cycle regulation in A549 cells. To evaluate cytotoxicity, MTT assays were performed at 24, 48, and 72 h,
Müjgan Kesik Oktay +4 more
wiley +1 more source
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
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
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
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
openaire +2 more sources
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
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
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

