Results 21 to 30 of about 111,154 (265)
Measurement Noise Covariance-Adapting Kalman Filters for Varying Sensor Noise Situations
Sensors, 2021 An accurate and reliable positioning system (PS) is a significant topic of research due to its broad range of aerospace applications, such as the localization of autonomous agents in GPS-denied and indoor environments.
Anirudh Chhabra +2 more
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A Concept of Approximated Densities for Efficient Nonlinear Estimation
EURASIP Journal on Advances in Signal Processing, 2002 This paper presents the theoretical development of a nonlinear adaptive filter based on a concept of filtering by approximated densities (FAD). The most common procedures for nonlinear estimation apply the extended Kalman filter.
Virginie F. Ruiz
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Aerospace, 2022 Aimed at joint state and parameter estimation problems in hypersonic glide vehicle defense, a novel moving horizon estimation algorithm via Carleman linearization is developed in this paper.
Yudong Hu, Changsheng Gao, Wuxing Jing
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Nonlinear Least Squares Estimation
The Annals of Mathematical Statistics, 1965 We are given a set of $N$ responses $Y_t$ which have arisen from a nonlinear regression model \begin{equation*}\tag{(1.1)}Y_t = f(x_t, \theta) + e_t; \quad t = 1, 2, \cdots, N.\end{equation*} Here $x_t$ denotes the $t$th fixed input vector of $k$ elements giving rise to $Y_t$, whilst $\theta$ is an $m$-element unknown parameter vector with elements ...
Hartley, H. O., Booker, Aaron
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Novel D-SLP Controller Design for Nonlinear Feedback Control
IEEE Access, 2020 Novel nonlinear feedback control based on the dragonfly swarm learning process (D-SLP) algorithm is proposed in this paper. This approach improves the performance, stability and robustness of designing the nonlinear system controller. The D-SLP algorithm
Jirapun Pongfai +3 more
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Universal nonlinear disturbance observer for robotic manipulators
International Journal of Advanced Robotic Systems, 2023 Dynamic uncertainties and unknown disturbances will degrade the tracking performance of robots. When using a disturber observer-based controller, the key to effectively compensate for these uncertainties is to measure or estimate as accurately as ...
Feilong Zhang +3 more
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Particle Filter for Randomly Delayed Measurements with Unknown Latency Probability
Sensors, 2020 This paper focuses on developing a particle filter based solution for randomly delayed measurements with an unknown latency probability. A generalized measurement model that includes measurements randomly delayed by an arbitrary but fixed maximum number ...
Ranjeet Kumar Tiwari +3 more
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FEBS Letters, EarlyView.The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li +2 more
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Nonlinear estimation of the transmission-input-shaft torque in a full-scale automotive vehicle
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2019 A nonlinear torque estimator for accurately estimating non-measurable transmission-input-shaft torque in a full-scale automotive vehicle with continuously variable transmission is proposed.
Katsutoshi YOSHIDA +2 more
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Suboptimal Nonlinear Moving Horizon Estimation
IEEE Transactions on Automatic Control, 2023 Published in: IEEE Transactions on Automatic Control (Early Access)
Julian D. Schiller, Matthias A. Müller
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