Results 71 to 80 of about 212,072 (202)

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

Data-Driven Control Method Based on Koopman Operator for Suspension System of Maglev Train

Actuators
The suspension system of the Electromagnetic Suspension (EMS) maglev train is crucial for ensuring safe operation. This article focuses on data-driven modeling and control optimization of the suspension system. By the Extended Dynamic Mode Decomposition (
Peichen Han, Junqi Xu, Lijun Rong, Wen Wang, Yougang Sun, Guobin Lin   +5 more
doaj   +1 more source

Sparsity in Dynamics of Spontaneous Subtle Emotions: Analysis \& Application

, 2016
Spontaneous subtle emotions are expressed through micro-expressions, which are tiny, sudden and short-lived dynamics of facial muscles; thus poses a great challenge for visual recognition.
Ngo, Anh Cat Le, Phan, Raphael Chung-Wei, See, John   +2 more
core   +1 more source

Multi-frequency VLBI observations of faint gigahertz peaked spectrum sources

, 2000
We present the data and analysis of VLBI observations at 1.6, 5 and 15 GHz of a sample of faint Gigahertz Peaked Spectrum (GPS) sources selected from the Westerbork Northern Sky Survey (WENSS).
Schilizzi, Richard, Snellen, Ignas, van Langevelde, Huib-Jan   +2 more
core   +3 more sources

Optimal Data-Driven Estimation of Generalized Markov State Models for Non-Equilibrium Dynamics

Computation, 2018
There are multiple ways in which a stochastic system can be out of statistical equilibrium. It might be subject to time-varying forcing; or be in a transient phase on its way towards equilibrium; it might even be in equilibrium without us noticing it ...
Péter Koltai, Hao Wu, Frank Noé, Christof Schütte   +3 more
doaj   +1 more source

Randomized Dynamic Mode Decomposition

, 2019
This paper presents a randomized algorithm for computing the near-optimal low-rank dynamic mode decomposition (DMD). Randomized algorithms are emerging techniques to compute low-rank matrix approximations at a fraction of the cost of deterministic ...
Brunton, Steven L., Erichson, N. Benjamin, Kutz, J. Nathan, Mathelin, Lionel   +3 more
core   +1 more source

Dynamic Modeling & Stability Analysis of a Generic UAV in Glide Phase

MATEC Web of Conferences, 2017
In this paper, we present dynamic modelling and stability analysis of a generic UAV in the glide phase under engine failure condition. When such extreme phenomena occurs, the most desirable requirement is to survive that stage by keeping the vehicle ...
Mir Imran, Maqsood Adnan, Akhtar Suhail
doaj   +1 more source

Dynamic Susceptibility and Phonon Anomalies in the Bilayer $t$-$J$ Model

, 1995
We consider a bilayer version of the extended $t$-$J$ model, with a view to computing the form of certain experimentally observable properties. Using the slave-boson decomposition, we show at the mean-field level that in the bilayer system the existence ...
A. Auerbach, A. Auerbach, A. Auerbach, A. J. Millis, A. J. Millis, A. V. Chubukov, A. W. Fetter, B. Chakraborty, B. Keimer, B. Keimer, B. Normand, B. Shraiman, C. G. Olson, C. H. Pennington, C. Jayaprakash, C. L. Kane, D. Arovas, D. S. Dessau, D. Yoshioka, F. Mila, G. C. Psaltakis, G. Kotliar, J. Gan, J. H. P. Colpa, J. Igarashi, J. Rossat Mignod, N. Nagaosa, P. A. Lee, P. A. Lee, Q. Si, R. J. Birgeneau, R. J. Birgeneau, R. Liu, S. Chakravarty, S. M. Hayden, S. M. Hayden, S. W. Cheong, S. W. Lovesey, T. Imai, T. Tanamoto, T. Tanamoto, W. Marshall   +41 more
core   +2 more sources

Bolt loosening detection in a jointed beam using empirical mode decomposition–based nonlinear system identification method

International Journal of Distributed Sensor Networks, 2019
In this work, a state-of-art nonlinear system identification method based on empirical mode decomposition is utilized and extended to detect bolt loosening in a jointed beam.
Chao Xu, Chen-Chen Huang, Wei-Dong Zhu
doaj   +1 more source

Data-Driven Dynamic State Estimation Framework Using a Koopman Operator-Based Linear Predictor

IEEE Access
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, Han Gao, Zhe Chen, Yanling Lv, Lixin Wang   +4 more
doaj   +1 more source