|
|
|
|
|
Pablo Brusola, Sergio Garcia-Nieto, Jose Vicente Salcedo, Miguel Martinez and Robert H. Bishop
This paper presents a mathematical modeling approach utilizing a fuzzy modeling framework for fixed-wing aircraft systems with the goal of creating a highly desirable mathematical representation for model-based control design applications. The starting p...
ver más
|
|
|
|
|
|
|
|
|
|
|
Louis Closson, Christophe Cérin, Didier Donsez and Jean-Luc Baudouin
This paper aims to provide discernment toward establishing a general framework, dedicated to data analysis and forecasting in smart buildings. It constitutes an industrial return of experience from an industrialist specializing in IoT supported by the ac...
ver más
|
|
|
|
|
|
|
|
|
|
|
Long Li, Yiming Peng, Yifeng Wang, Xiaohui Wei and Hong Nie
Arresting gear systems play a vital role in carrier-based aircraft landing. In order to accurately understand the process of arresting hook and cable, this study introduces a parameter inversion method to model the arresting cable and applies it to the t...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shen Wu, Tie Li, Run Chen, Shuai Huang, Fuguo Xu and Bin Wang
Liquefied natural gas (LNG) is widely regarded as the midterm solution toward zero-carbon transportation at sea. However, further applications of gas engines are challenging due to their weak dynamic load performance. Therefore, the comprehension of and ...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Pietro Burrascano
Modeling the nonlinearity of a system is of primary importance both for optimizing its design and for controlling the behavior of physical systems operating with a wide dynamic range of input values, for which the linearity hypothesis may not be sufficie...
ver más
|
|
|
|
|
|
|
|
|
|
|
S. Hooman Mousavi, M. R. Kavianpour, Jorge Luis García Alcaraz and Omid A. Yamini
Water pollution is a significant environmental challenge with implications for both the natural world and human well-being. To better understand and manage the complex interactions within water pollution systems, such as waste dumping in the sea, system ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Noura Maghawry, Samy Ghoniemy, Eman Shaaban and Karim Emara
Semantic data integration provides the ability to interrelate and analyze information from multiple heterogeneous resources. With the growing complexity of medical ontologies and the big data generated from different resources, there is a need for integr...
ver más
|
|
|
|
|
|
|
|
|
|
|
Muhammed Alhanouti and Frank Gauterin
The regeneration of highly dynamic driving maneuvers on vehicle test benches is challenging due to several influences, such as power losses, vibrations in the overall system that involves the vehicle with the test bench, uncertainties in the model parame...
ver más
|
|
|
|
|
|