Zobrazeno 1 - 10
of 12 604
pro vyhledávání: '"Order reduction"'
Autor:
Bernadett Stadler, Roberto Biasi, Mauro Manetti, Andreas Obereder, Ronny Ramlau, Matteo Tintori
Publikováno v:
Journal of Mathematics in Industry, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract In the design process of large adaptive mirrors numerical simulations represent the first step to evaluate the system design compliance in terms of performance, stability and robustness. For the next generation of Extremely Large Telescopes
Externí odkaz:
https://doaj.org/article/745e3cabd476421ab4f9ae09fdf9729f
Decentralized state estimation for different substructure layouts of an adaptive high-rise structure
Publikováno v:
Mathematical and Computer Modelling of Dynamical Systems, Vol 30, Iss 1, Pp 640-658 (2024)
Active control in adaptive structures allows for reducing the structural weight of a building and thus to drastically decrease the construction sector’s global impact. For an active control, it is necessary to estimate the state. Especially for lar
Externí odkaz:
https://doaj.org/article/adbcce27f3a249689ba6a0d5770042ea
Autor:
Jennifer Przybilla, Matthias Voigt
Publikováno v:
Mathematical and Computer Modelling of Dynamical Systems, Vol 30, Iss 1, Pp 303-341 (2024)
We deduce a procedure to apply balanced truncation to parameter-dependent differential-algebraic systems. For that we solve multiple projected Lyapunov equations for different parameter values to compute the Gramians that are required for the truncat
Externí odkaz:
https://doaj.org/article/d046b14b5831401caace530f296e5410
Publikováno v:
Yuanzineng kexue jishu, Vol 7, Iss 58, Pp 1424-1431 (2024)
The reactor operation digital twin provides real-time parameter and state estimation for the reactor during operation, providing input for subsequent safety parameter calculations. As one of the core modules of the reactor operation digital twin, the
Externí odkaz:
https://doaj.org/article/39dfaeaccd7c4f3392345c08ebb278b5
Autor:
Ruchi Varshney, Amit Dixit
Publikováno v:
Proceedings on Engineering Sciences, Vol 6, Iss 2, Pp 753-760 (2024)
Nuclear reactors, as a class, exhibit nonlinear and higher-order system characteristics, posing a consistent challenge for researchers in the design of effective controllers. The specific focus of this study is on the Pressurized Heavy Water Reactor
Externí odkaz:
https://doaj.org/article/f81d36b909374c6e8e3652231c2dc7d6
Publikováno v:
Engineering Reports, Vol 6, Iss 11, Pp n/a-n/a (2024)
Abstract Thermal transient problems, essential for modeling applications like welding and additive metal manufacturing, are characterized by a dynamic evolution of temperature. Accurately simulating these phenomena is often computationally expensive,
Externí odkaz:
https://doaj.org/article/c97f3aeab91f45b99883e1fd1857d5ac
Publikováno v:
Results in Engineering, Vol 23, Iss , Pp 102389- (2024)
Structural Health Monitoring (SHM) techniques are key to monitor the health state of engineering structures, where damage type, location and severity are to be estimated by applying sophisticated techniques to signals measured by sensors. However, ve
Externí odkaz:
https://doaj.org/article/51c3845f354b4adbb07e7dcb33c1543a
Publikováno v:
Power Electronic Devices and Components, Vol 8, Iss , Pp 100063- (2024)
This work presents a new approach for performing a parametric study and examining nonlinear material behaviours of a coupled thermal-mechanical model of a Power Electronics Module (PEM) by integrating the Finite Element Method (ANSYS-FEM) with Parame
Externí odkaz:
https://doaj.org/article/64de6b03d644429c81fd4c8b2dae4a4b
Autor:
Nusret Tan, Hilal İrgan
Publikováno v:
Uludağ University Journal of The Faculty of Engineering, Vol 29, Iss 1, Pp 225-244 (2024)
This study focuses on designing PI controllers for time-delay systems using various model order reduction techniques to reduce complexity. The stability boundary locus method was used to determine PI parameters that stabilizing reduced order models.
Externí odkaz:
https://doaj.org/article/230ad17a260d42d1b1b29ef3f6f08a8d
Autor:
Eki Agouzal, Tommaso Taddei
Publikováno v:
Advanced Modeling and Simulation in Engineering Sciences, Vol 11, Iss 1, Pp 1-28 (2024)
Abstract We present an accelerated greedy strategy for training of projection-based reduced-order models for parametric steady and unsteady partial differential equations. Our approach exploits hierarchical approximate proper orthogonal decomposition
Externí odkaz:
https://doaj.org/article/1c025426368c42fb88c3386960a0f6a7