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Wenchong Tian, Yuting Liu, Jun Xie, Weizhong Huang, Weihao Chen, Tao Tao and Kunlun Xin
The accurate simulation of the dynamics of the anaerobic?anoxic?oxic (A2O) process in the biochemical reactions in wastewater treatment plants (WWTPs) is important for system prediction and optimization. Previous studies have used real-time monitoring da...
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Gyurhan Nedzhibov
Dynamic Mode Decomposition with Control is a powerful technique for analyzing and modeling complex dynamical systems under the influence of external control inputs. In this paper, we propose a novel approach to implement this technique that offers comput...
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Periklis Tzanetis, Marco A. Marra, René Fluit, Bart Koopman and Nico Verdonschot
The proposed methodology provides orthopedic surgeons with quantitative data on the sensitivity of muscle, ligament, and joint compressive forces to tibial polyethylene insert thickness variations and can be further developed to optimize navigated or rob...
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Alexander Schaum
The application of autoencoders in combination with Dynamic Mode Decomposition for control (DMDc) and reduced order observer design as well as Kalman Filter design is discussed for low order state reconstruction of a class of scalar linear diffusion-conv...
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Nikolaos Mellios, Jason F. L. Koopman and Chrysi Laspidou
An analysis of virtual crop water export through international trade is conducted for Greece, downscaled to the River Basin District (RBD) level, in order to identify critical ?hotspots? of localized water shortage in the country. A computable general eq...
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Péter Koltai, Hao Wu, Frank Noé and Christof Schütte
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, du...
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Ryan Hamilton, Bill Braun, Ben Koopman, Spyros A. Svoronos
Pág. 1889 - 1896
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