Results 41 to 50 of about 6,123,697 (192)

Balanced Truncation of Networked Linear Passive Systems [PDF]

, 2019
This paper studies model order reduction of multi-agent systems consisting of identical linear passive subsystems, where the interconnection topology is characterized by an undirected weighted graph.
Besselink, Bart, Cheng, Xiaodong, Scherpen, Jacquelien M. A.   +2 more
core   +4 more sources

Coupling the reduced-order model and the generative model for an importance sampling estimator

, 2019
In this work, we develop an importance sampling estimator by coupling the reduced-order model and the generative model in a problem setting of uncertainty quantification.
Wan, Xiaoliang, Wei, Shuangqing
core   +1 more source

Nonlinear observer for hydropower system [PDF]

Modeling, Identification and Control, 2019
Estimation of unmeasured states plays an essential role in the design of control systems as well as for monitoring of hydropower plants. The standard Kalman filter gives the optimum state estimates for linear systems.
Liubomyr Vytvytskyi, Roshan Sharma, Bernt Lie   +2 more
doaj   +1 more source

Bipedal Hopping: Reduced-order Model Embedding via Optimization-based Control [PDF]

, 2018
This paper presents the design and validation of controlling hopping on the 3D bipedal robot Cassie. A spring-mass model is identified from the kinematics and compliance of the robot.
Ames, Aaron, Xiong, Xiaobin
core   +1 more source

Reduced-Order Thermal Behavioral Model Based on Diffusive Representation [PDF]

, 2009
14 páginas, 15 figuras, 2 tablas.-- et al.The virtual prototyping of power electronic converters requires electrothermal models with various abstraction levels and easy identification.
Allard, Bruno, Jordà, Xavier, M’Rad, Sabrine, Perpiñà, X., Vellvehi Hernández, Miquel   +4 more
core   +1 more source

Estimating flow fields with reduced order models

Heliyon, 2023
The estimation of fluid flows inside a centrifugal pump in realtime is a challenging task that cannot be achieved with long-established methods like CFD due to their computational demands. We use a projection-based reduced order model (ROM) instead.
Kamil David Sommer, Lucas Reineking, Yogesh Parry Ravichandran, Romuald Skoda, Martin Mönnigmann   +4 more
openaire   +4 more sources

Reduced order model for hard magnetic films

AIP Advances
In the pursuit of rare earth-lean permanent magnets for green technologies, microstructural optimisation offers a promising strategy to enhance coercivity while minimising critical element content.
H. Moustafa, A. Kovacs, J. Fischbacher, M. Gusenbauer, Q. Ali, L. Breth, Y. Hong, W. Rigaut, T. Devillers, N. M. Dempsey, T. Schrefl, H. Oezelt   +11 more
doaj   +1 more source

A reduced order model for fission gas diffusion in columnar grains

Nuclear Engineering and Technology, 2023
In fast reactors, restructuring of the fuel micro-structure driven by high temperature and high temperature gradient can cause the formation of columnar grains.
D. Pizzocri, M. Di Gennaro, T. Barani, F.A.B. Silva, G. Zullo, S. Lorenzi, A. Cammi   +6 more
doaj   +1 more source

Reduced-Order Model Approaches for Predicting Airfoil Performance

Actuators
This study delves into the construction of reduced-order models (ROMs) of a flow field over a NACA 0012 airfoil at a moderate Reynolds number and an angle of attack of 8∘. Numerical simulations were computed through the finite-volume solver OpenFOAM. The
Antonio Colanera, Eduardo Di Costanzo, Matteo Chiatto, Luigi de Luca   +3 more
doaj   +1 more source

Reduced Order Model Approach for Efficient Aircraft Loads Prediction [PDF]

, 2015
Flight loads calculations play a fundamental role in the development and certification of an aircraft and have an impact on the structural sizing and weight.
Castellani, Michele, Cooper, Jonathan E, Lemmens, Yves   +2 more
core   +2 more sources