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Morten Borup, Henrik Madsen, Morten Grum and Peter Steen Mikkelsen
To prevent online models diverging from reality they need to be updated to current conditions using observations and data assimilation techniques. A way of doing this for distributed hydrodynamic urban drainage models is to use the Ensemble Kalman Filter...
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Wei Guan, Haowen Peng, Xianku Zhang and Hui Sun
In recent years, marine autonomous surface vessels (MASS) have grown into a ship research issue to increase the level of autonomy of ship behavior decision-making and control while sailing at sea. This paper focuses on the MASS motion control module desi...
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Md Ruhul Amin, Md Mahbubur Rahman, Mohammad Amazad Hossain, Md Khairul Islam, Kazi Mowdud Ahmed, Bikash Chandra Singh and Md Sipon Miah
In this paper, we proposed the unscented Kalman filter (UKF) based on cooperative spectrum sensing (CSS) scheme in a cognitive radio network (CRN) using an adaptive fuzzy system?in this proposed scheme, firstly, the UKF to apply the nonlinear system whic...
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Przemyslaw Hawro, Tadeusz Kwater, Robert Pekala and Boguslaw Twaróg
This paper proposes the realization of a soft sensor using an adaptive algorithm with proportional correction of the gain coefficient for monitoring river water quality. This algorithm makes it possible to monitor online signals of an object described by...
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Caiping Zhang, Jiuchun Jiang, Weige Zhang and Suleiman M. Sharkh
A robust extended Kalman filter (EKF) is proposed as a method for estimation of the state of charge (SOC) of lithium-ion batteries used in hybrid electric vehicles (HEVs). An equivalent circuit model of the battery, including its electromotive force (EMF...
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Haksu Lee, Haojing Shen and Dong-Jun Seo
This paper presents a comparative geometric analysis of the conditional bias (CB)-informed Kalman filter (KF) with the Kalman filter (KF) in the Euclidean space. The CB-informed KFs considered include the CB-penalized KF (CBPKF) and its ensemble extensio...
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Ying Wang, Hongjian Wang, Qing Li, Yao Xiao and Xicheng Ban
At present, the tracking accuracy of underwater passive target tracking is often limited due to models that are overly simple, with low complexity, poor universality, and an inability to learn. In this paper, a cubature Kalman filter (CKF) algorithm base...
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Aijun Zhang, Yixuan Wu, Chenbo Zhi and Rui Yang
In the navigation of an autonomous underwater vehicle (AUV), the positioning accuracy and stability of the navigation system will decrease due to uncertainties such as mobility, inaccuracy of a priori process noise characteristic, and simplification of a...
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Zhongjie He, Yueqi Zhao, Xiachuan Fu, Xin Sheng and Siwen Xu
Motivated by the need for a simple and effective assimilation scheme that could be used in a relocatable ocean model, a new assimilation algorithm called ensemble optimal smoothing (EnOS) was developed. This scheme was a straightforward extension of the ...
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Emilio Sánchez-León, Carsten Leven, Daniel Erdal and Olaf A. Cirpka
Pumping and tracer tests are site-investigation techniques frequently used to determine hydraulic conductivity. Tomographic test layouts, in which multiple tests with different combinations of injection and observation wells are performed, gain a better ...
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Yong Tian, Chaoren Chen, Bizhong Xia, Wei Sun, Zhihui Xu and Weiwei Zheng
The state of charge (SOC) is important for the safety and reliability of battery operation since it indicates the remaining capacity of a battery. However, it is difficult to get an accurate value of SOC, because the SOC cannot be di...
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