Results 81 to 90 of about 1,063,107 (310)
Neural Koopman forecasting for critical transitions in infrastructure networks
Intelligent Systems with ApplicationsWe develop a data-driven framework for long-term forecasting of stochastic dynamics on evolving networked infrastructure systems using neural approximations of Koopman operators.
Ramen Ghosh
doaj +1 more source
Extended Kalman Filter–Koopman Operator for Tractable Stochastic Optimal Control [PDF]
IEEE Control Systems LettersThe theory of dual control was introduced more than seven decades ago. Although it has provided rich insights to the fields of control, estimation, and system identification, dual control is generally computationally prohibitive. In recent years, however,
Mohammad S. Ramadan, M. Anitescu
semanticscholar +1 more source
Kernel-Based Approximation of the Koopman Generator and Schrödinger Operator [PDF]
Entropy, 2020 Many dimensionality and model reduction techniques rely on estimating dominant eigenfunctions of associated dynamical operators from data. Important examples include the Koopman operator and its generator, but also the Schrödinger operator. We propose a kernel-based method for the approximation of differential operators in reproducing kernel Hilbert ...
Stefan Klus +2 more
openaire +8 more sources
Risk‐aware safe reinforcement learning for control of stochastic linear systems
Asian Journal of Control, EarlyView.Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili +2 more
wiley +1 more source
Koopman Operator, Geometry, and Learning
, 2020 We provide a framework for learning of dynamical systems rooted in the concept of representations and Koopman operators. The interplay between the two leads to the full description of systems that can be represented linearly in a finite dimension, based on the properties of the Koopman operator spectrum.
openaire +2 more sources
A Koopman Operator Tutorial with Othogonal Polynomials
, 2021 The Koopman Operator (KO) offers a promising alternative methodology to solve ordinary differential equations analytically. The solution of the dynamical system is analyzed in terms of observables, which are expressed as a linear combination of the eigenfunctions of the system.
Servadio, Simone +2 more
openaire +2 more sources
Koopman operator-based model reduction for switched-system control of PDEs
, 2019 We present a new framework for optimal and feedback control of PDEs using Koopman operator-based reduced order models (K-ROMs). The Koopman operator is a linear but infinite-dimensional operator which describes the dynamics of observables.
Klus, Stefan, Peitz, Sebastian
core +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This research investigates the role of the chief executive officer (CEO) in facilitating corporate environmental responsibility, a pivotal strategy for contemporary organizations seeking to cope with environmental challenges. Drawing on upper echelons theory and the cognitive–affective processing system framework, we expect that CEO ...
Xu Feng +3 more
wiley +1 more source
Koopman-Based Control System for Quadrotors in Noisy Environments
IEEE AccessIt is well known that identification of the complete system dynamics is challenging, especially in noisy environments. The Koopman operator theory provides a linear representation of a nonlinear system using only the input/output data acquired from the ...
Yuna Oh, Myoung Hoon Lee, Jun Moon
doaj +1 more source
Examining the Impact of Role Overload on Knowledge Hiding and Knowledge Manipulation
Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l'Administration, EarlyView.ABSTRACT Role overload was rated as one of the top workplace stressors by the American Psychological Association in 2015. Drawing from the stressor‐emotion model of Counterproductive Work Behaviour, we examine the indirect effect of role overload on knowledge hiding and manipulation, via negative affect.
Jessica R. L. Good +3 more
wiley +1 more source