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Ebenezer O. Oluwasakin and Abdul Q. M. Khaliq
Artificial neural networks have changed many fields by giving scientists a strong way to model complex phenomena. They are also becoming increasingly useful for solving various difficult scientific problems. Still, people keep trying to find faster and m...
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Krzysztof Wojciech Fornalski
Every living organism is a physical, complex system which can be modeled by nonlinear dynamical equations in some very narrowed cases. Here we discuss the adoption and potential application of Lotka?Volterra equations (with damping) to simulate, on a ver...
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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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Giulio De Angelis, Stefano Carletta, Mauro Pontani and Paolo Teofilatto
Exploration of Venus is recently driven by the interest of the scientific community in understanding the evolution of Earth-size planets, and is leading the implementation of missions that can benefit from new design techniques and technology. In this wo...
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Chao-Chung Peng and Yi-Ho Chen
Digital twins can reflect the dynamical behavior of the identified system, enabling self-diagnosis and prediction in the digital world to optimize the intelligent manufacturing process. One of the key benefits of digital twins is the ability to provide r...
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A.G. Ivanov?Rostovtsev,L.G. Kolotilo
Pág. 35 - 44
An algorithm for controlling the dynamics of real systems has been developed. The algorithm is based on the space-time symmetry of D-SELF motion parameters in open dynamical systems. A balanced, discrete-continuous mode of displacement is calculated as a...
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Daniel P. Lubey and Todd A. Ely
This study investigates methods for autonomous navigation of a deep-space spacecraft where one-way radiometric and on-board optical information are fused to create a fully informed state estimate. The specific focus is on using filter bank methods (i.e.,...
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Xiaohui Yang, Xiaolong Zhang, Shaoping Xu, Yihui Ding, Kun Zhu and Peter Xiaoping Liu
In this paper, a novel constraint-following control for uncertain robot manipulators that is inspired by analytical dynamics is developed. The motion can be regarded as external constraints of the system. However, it is not easy to obtain explicit equati...
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Katja Trachte
Atmospheric moisture pathways to the highlands of the tropical Andes Mountains were investigated using the Weather Research and Forecasting (WRF) model, as well as back-trajectory analysis. To assess model uncertainties according to the initial and later...
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Yassine Charabi,Sultan Al-Yahyai
Pág. 261 - 269
This paper evaluates the use of ensemble numerical weather prediction (NWP) models for dynamical downscaling of temperature over a complex, hot region. This approach delivers information about the uncertainty of the NWP models and provides probabilistic ...
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