Results 11 to 20 of about 704,169 (290)
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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Non-linear minimum variance estimation for discrete-time multi-channel systems [PDF]
, 2009 A nonlinear operator approach to estimation in discrete-time systems is described. It involves inferential estimation of a signal which enters a communications channel involving both nonlinearities and transport delays. The measurements are assumed to be
Grimble, Mike J., Naz, Shamsher Ali
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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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