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Andreas Rauh and Julia Kersten
Continuous-time linear systems with uncertain parameters are widely used for modeling real-life processes. The uncertain parameters, contained in the system and input matrices, can be constant or time-varying. In the latter case, they may represent state...
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Arup Dey, Nita Yodo, Om P. Yadav, Ragavanantham Shanmugam and Monsuru Ramoni
Data-driven algorithms have been widely applied in predicting tool wear because of the high prediction performance of the algorithms, availability of data sets, and advancements in computing capabilities in recent years. Although most algorithms are supp...
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Carine Jauberthie and Nathalie Verdière
A numerical parameter estimation method, based on input-output integro-differential polynomials in a bounded-error framework is investigated in this paper. More precisely, the measurement noise and parameters belong to connected sets (in the proposed wor...
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Morgan Louédec and Luc Jaulin
The extended Kalman filter has been shown to be a precise method for nonlinear state estimation and is the facto standard in navigation systems. However, if the initial estimated state is far from the true one, the filter may diverge, mainly due to an in...
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Mohamed Fnadi and Julien Alexandre dit Sandretto
This paper combines the interval analysis tools with the nonlinear model predictive control (NMPC). The NMPC strategy is formulated based on an uncertain dynamic model expressed as nonlinear ordinary differential equations (ODEs). All the dynamic paramet...
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Fangyi Li, Yufei Yan, Jianhua Rong and Houyao Zhu
In practical engineering, due to the lack of information, it is impossible to accurately determine the distribution of all variables. Therefore, time-variant reliability problems with both random and interval variables may be encountered. However, this k...
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Seyed Hamed Fateminia, Vuppuluri Sumati and Aminah Robinson Fayek
Determining contingency reserve is critical to project risk management. Classic methods of determining contingency reserve significantly rely on historical data and fail to effectively incorporate certain types of uncertainties such as vagueness, ambigui...
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Thomas Paradowski, Sabine Lerch, Michelle Damaszek, Robert Dehnert and Bernd Tibken
In the field of control engineering, observability of uncertain nonlinear systems is often neglected and not examined. This is due to the complex analytical calculations required for the verification. Therefore, the aim of this work is to provide an algo...
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Chang Liu, Yan Jia, Yaprak Onat, Alejandro Cifuentes-Lorenzen, Amin Ilia, Grant McCardell, Todd Fake and James O?Donnell
Accurately estimating the probability of storm surge occurrences is necessary for flood risk assessments. This research models Long Island Sound using a coupled coastal circulation and wave model (FVCOM-SWAVE) to hindcast the 44 highest storms between 19...
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Lelin Lv, Huimin Li, Lunyan Wang, Qing Xia and Li Ji
Failure Mode and Effect Analysis (FMEA) is a useful risk assessment tool used to identify, evaluate, and eliminate potential failure modes in numerous fields to improve security and reliability. Risk evaluation is a crucial step in FMEA and the Risk Prio...
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Swantje Romig, Luc Jaulin and Andreas Rauh
In recent years, many applications, as well as theoretical properties of interval analysis have been investigated. Without any claim for completeness, such applications and methodologies range from enclosing the effect of round-off errors in highly accur...
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Chantelle May Clohessy, Gary Sharp, Johan Hugo, E. van Dyk
The drive to reduce fossil fuel dependency led to a surge in interest in renewable energy as a replacement fuel source, which provided research opportunities for vastly different domains. Statistical modelling was used extensively to assist in research. ...
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Yi-Fang Chang, Hua-Xing Bi, Qing-Fu Ren, Hua-Sen Xu, Zhi-Cai Cai, Dan Wang and Wen-Chao Liao
As an important restrictive factor of ecological construction on the Loess Plateau, the study of soil moisture dynamics is essential, especially under the impact of climate change on hydrological processes. In this study, the applicability of the Laio so...
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Yi-Fang Chang, Hua-Xing Bi, Qing-Fu Ren, Hua-Sen Xu, Zhi-Cai Cai, Dan Wang, Wen-Chao Liao
Pág. 1 - 27
As an important restrictive factor of ecological construction on the Loess Plateau, the study of soil moisture dynamics is essential, especially under the impact of climate change on hydrological processes. In this study, the applicability of the Laio so...
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L. O. Panyk
Pág. 167 - 171
In the article a method is developed and the multicriterion analysis of streams is executed in network models in the conditions of unclear (interval) basic data.
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Pritikana Das, M. Parida, Ashish Bhaskar, V.K. Katiyar
Pág. 32 - 42
Data extraction is an essential part of traffic flow parameter estimation. Estimation of traffic flow parameters, such as flow rate, density, and speed are carried out under certain measurement interval. Fundamental relationships among these parameters a...
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Vasily Vartanian, Yurii Romanenkov, Yurii Pronchakov, Tieimur Zieiniiev
Pág. 12 - 22
The problem of rational distribution of investment resources among individual business processes of the organizational and technical system is considered taking into account the real characteristics of the primary data (in particular, the interval uncert...
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Suxun Shu, Jiajun Qian, Wenhui Gong, Zhiquan Yang and Kang Pi
Aiming at the problem that the non-probabilistic reliability analysis method of slope engineering, which is based on an interval model, cannot consider the cross-correlation of geotechnical parameters, a non-probabilistic reliability analysis method of s...
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Enze Shao, Qichang Mei, Tongjun Ye, Bálint Kovács, Julien S. Baker, Wei Liu and Yaodong Gu
Interval running methodologies simulate competition and training conditions, with the aim of enhancing an athletes? ability to cope with constant deceleration, acceleration, and sudden changes in direction, as associated athletic and performance challeng...
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Soojeong Lee, Gyanendra Prasad Joshi, Anish Prasad Shrestha, Chang-Hwan Son and Gangseong Lee
Cuffless blood pressure (BP) monitoring is crucial for patients with cardiovascular disease and hypertension. However, conventional BP monitors provide only single-point estimates without confidence intervals. Therefore, the statistical variability in th...
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