Results 11 to 20 of about 111,154 (265)
A Target-Based Self-Calibration Method for Terrestrial Laser Scanners and its Robust Solution
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Fundamental systematic errors in point cloud data are inevitable due to a variety of factors, ranging from the external environment during scanning or observation by a terrestrial laser scanner (TLS) to the assembly of the instrument.
Peng Lin +4 more
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Robust analysis for data-driven model predictive control
Systems Science & Control Engineering, 2021 Here the idea of data driven is introduced in model predictive control to establish our proposed data-driven model predictive control. Considering one first-order discrete time nonlinear dynamical system, the main essence of data driven means the actual ...
Hong Jianwang +2 more
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Identification and Optimal Control for Surge and Swab Pressure Reduction While Performing Offshore Drilling Operations [PDF]
Modeling, Identification and Control, 2020 In this paper, an unscented Kalman filter coupled with a nonlinear model-predictive controller for a hydraulic wellbore model with multi-variable control and tracking is presented. In a wellbore, high drill string velocities in operational sequences such
Njål Tengesdal, Christian Holden
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Improved Bearings-Only Multi-Target Tracking with GM-PHD Filtering
Sensors, 2016 In this paper, an improved nonlinear Gaussian mixture probability hypothesis density (GM-PHD) filter is proposed to address bearings-only measurements in multi-target tracking.
Qian Zhang, Taek Lyul Song
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Guide to nonlinear potential estimates [PDF]
Bulletin of Mathematical Sciences, 2014 One of the basic achievements in nonlinear potential theory is that the typical linear pointwise estimates via fundamental solutions find a precise analog in the case of nonlinear equations. We give a comprehensive account of this fact and prove new unifying families of potential estimates.
T. Kuusi, MINGIONE, Giuseppe
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SICE Journal of Control, Measurement, and System Integration, 2020 This paper proposes a recursive elimination method for optimal filtering problems of a class of discrete-time nonlinear systems with non-Gaussian noise. By this method, most of the computations to solve an optimal filtering problem can be carried out off-
Tomoyuki Iori, Toshiyuki Ohtsuka
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Entropy, 2017 Information geometry enables a deeper understanding of the methods of statistical inference. In this paper, the problem of nonlinear parameter estimation is considered from a geometric viewpoint using a natural gradient descent on statistical manifolds ...
Yongqiang Cheng, Xuezhi Wang, Bill Moran
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IET Signal Processing, 2023 Direction of arrival (DOA) and time difference of arrival (TDOA) hybrid localisation is an effective localisation technique. Station position errors affect localisation performance.
Linqiang Jiang +4 more
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Intelligence-Aware Batch Processing for TMA with Bearings-Only Measurements
Sensors, 2021 This paper develops a framework to track the trajectory of a target in 2D by considering a moving ownship able to measure bearing measurements. Notably, the framework allows one to incorporate additional information (e.g., obtained via intelligence) such
Gabriele Oliva +2 more
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Gaussian‐like measurement likelihood based particle filter for extended target tracking
IET Radar, Sonar & Navigation, 2023 Extended target tracking based on the star‐convex model is a multi‐dimensional nonlinear estimation problem. To approximate the shape of an extended target, the star‐convex model requires a higher‐order Fourier series expansion, which will increase the ...
Yiduo Liu, Hongbing Ji, Yongquan Zhang
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