Results 21 to 30 of about 1,622,507 (285)
Entropy, 2021 In this study, an intelligent computing paradigm built on a nonlinear autoregressive exogenous (NARX) feedback neural network model with the strength of deep learning is presented for accurate state estimation of an underwater passive target.
Wasiq Ali +4 more
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Nonlinear filtering of image contours defined in a complex-valued code
Компьютерная оптика, 2020 The article describes special aspects of the organization of nonlinear filtering of image contours defined as a sequence of complex numbers. An effect of scale and rotation of the contour on the filtering result is studied. Changes in the contour spectra
R.G. Khafizov, S.A. Okhotnikov
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Data and Program Structure for a Modular Extended Kalman Filter [PDF]
Modeling, Identification and Control, 1988 The paper presents a data and program structure that makes it easier to implement a nonlinear process or measurement model when using the extended Kalman filter. This is achieved by a composite data type containing both the estimated value and covariance
Ingar Solberg
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Random Weighting-Based Nonlinear Gaussian Filtering
IEEE Access, 2020 The Gaussian filtering is a commonly used method for nonlinear system state estimation. However, this method requires both system process noise and measurement noise to be white noise sequences with known statistical characteristics.
Zhaohui Gao +4 more
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Systems Science & Control Engineering, 2023 In this paper, a recursive filtering problem is analyzed for nonlinear systems with sensor saturation under duty cycle scheduling (DCS). The sensor saturation is taken into account to describe practical engineering better.
Hongyu Gao +3 more
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Derivative-Free Distributed Filtering for MIMO Robotic Systems under Delays and Packet Drops
International Journal of Advanced Robotic Systems, 2013 This paper presents an approach to distributed state estimation-based control of nonlinear MIMO systems, capable of incorporating delayed measurements in the estimation algorithm while also being robust to packet losses.
Gerasimos G. Rigatos
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Bayesian Nonlinear Filtering via Information Geometric Optimization
Entropy, 2017 In this paper, Bayesian nonlinear filtering is considered from the viewpoint of information geometry and a novel filtering method is proposed based on information geometric optimization.
Yubo Li +5 more
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International Journal of Advanced Robotic Systems, 2011 The paper proposes derivative-free nonlinear Kalman Filtering for MIMO nonlinear dynamical systems. The considered nonlinear filtering scheme which is based on differential flatness theory extends the class of systems to which Kalman Filtering can be ...
Gerasimos G. Rigatos
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A Novel Real-Time Filtering Method to General Nonlinear Filtering Problem Without Memory
IEEE Access, 2021 In this paper, the filtering problem for the general time-invariant nonlinear state-observation system is considered. Our work is based on the Yau-Yau filtering framework developed by S.-T. Yau and the third author in 2008.
Ji Shi +2 more
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Adaptive UKF Algorithm for GNSS/SINS Integrated Navigation Based on Allan Variance Model [PDF]
Hangkong bingqiThe GNSS/SINS integrated navigation system is a typical nonlinear system， so the nonlinear filtering methods is one of the effective ways to improve its filtering performance.
Liu Siming, Lin Xueyuan, Qiao Yuxin
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