Results 81 to 90 of about 1,082,543 (312)
Deep Koopman Operator-Informed Safety Command Governor for Autonomous Vehicles [PDF]
IEEE/ASME transactions on mechatronicsModeling of nonlinear behaviors with physical-based models poses challenges. However, Koopman operator maps the original nonlinear system into an infinite-dimensional linear space to achieve global linearization of the nonlinear system through input and ...
Hao Chen +3 more
semanticscholar +1 more source
On Gaussian Process Based Koopman Operators
IFAC-PapersOnLine, 2020 Abstract Enabling analysis of non-linear systems in linear form, the Koopman operator has been shown to be a powerful tool for system identification and controller design. However, current data-driven methods cannot provide quantification of model uncertainty given the learnt model.
Yingzhao Lian, Colin N. Jones
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System norm regularization methods for Koopman operator approximation
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2022 Approximating the Koopman operator from data is numerically challenging when many lifting functions are considered. Even low-dimensional systems can yield unstable or ill-conditioned results in a high-dimensional lifted space. In this paper, Extended Dynamic Mode Decomposition (DMD) and DMD with control, two methods for approximating the ...
Steven Dahdah, James R. Forbes
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A Meta‐Analytic Review of the Within‐Person Relationship Between Affect and Job Performance
Journal of Organizational Behavior, EarlyView.ABSTRACT In recent years, there has been a shift from a between‐person, static view of trait affect and stable performance to a within‐person, dynamic view of state affect and episodic performance. However, these dynamic relationships have yet to be summarized.
John A. Aitken +4 more
wiley +1 more source
Data-driven koopman operator-based detection and location for multi-source forced oscillations
International Journal of Electrical Power & Energy SystemsThe identification and localization of oscillation sources (OSs) is crucial for the effective suppression of forced oscillations in power systems. Herein, we introduce a novel data-driven methodology, leveraging the Koopman operator, for the detection ...
Deyou Yang +3 more
doaj +1 more source
From Near to Far: Why, How, and When Mindful Leadership Can Benefit Subordinates' Family Members
Journal of Organizational Behavior, EarlyView.ABSTRACT Existing research suggests that mindful leadership shapes the way followers interact with other people in the workplace. This study illustrates the mechanisms behind this leadership function, extends it to nonworking domains, and clarifies why and how followers' family members can benefit from it.
Xingyu Feng +3 more
wiley +1 more source
Data-Driven Dynamic State Estimation Framework Using a Koopman Operator-Based Linear Predictor
IEEE AccessDynamic 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
Extracting Koopman Operators for Prediction and Control of Non-linear Dynamics Using Two-stage Learning and Oblique Projections [PDF]
, 2023 Daisuke Uchida, Karthik Duraisamy
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, 2019 Understanding nonlinear dynamical systems (NLDSs) is challenging in a variety of engineering and scientific fields. Dynamic mode decomposition (DMD), which is a numerical algorithm for the spectral analysis of Koopman operators, has been attracting ...
94165 +3 more
core +1 more source
physica status solidi (b), EarlyView.The response of graphene and MoS2 monolayers to highly‐charged impinging ions is investigated using nonequilibrium Green functions theory. Electronic correlations are found to have a significantly stronger influence on the ultrafast ion‐induced electron dynamics in MoS2 than in graphene.
Giorgio Lovato +4 more
wiley +1 more source