Results 71 to 80 of about 179,380 (196)

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

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

Online real-time learning of dynamical systems from noisy streaming data

Scientific Reports, 2023
Recent advancements in sensing and communication facilitate obtaining high-frequency real-time data from various physical systems like power networks, climate systems, biological networks, etc. However, since the data are recorded by physical sensors, it
S. Sinha, S. P. Nandanoori, D. A. Barajas-Solano   +2 more
doaj   +1 more source

Dynamic mode decomposition with control [PDF]

, 2014
We develop a new method which extends Dynamic Mode Decomposition (DMD) to incorporate the effect of control to extract low-order models from high-dimensional, complex systems.
Brunton, Steven L., Kutz, J. Nathan, Proctor, Joshua L.   +2 more
core  

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

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

On Reduced Input-Output Dynamic Mode Decomposition

, 2017
The identification of reduced-order models from high-dimensional data is a challenging task, and even more so if the identified system should not only be suitable for a certain data set, but generally approximate the input-output behavior of the data ...
Benner, Peter, Himpe, Christian, Mitchell, Tim   +2 more
core   +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

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

Parameters Identification for Extended Debye Model of XLPE Cables Based on Sparsity-Promoting Dynamic Mode Decomposition Method [PDF]

, 2023
Weijun Wang, Min Chen, Hui Yin, Yuan Li
openalex   +1 more source