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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An integrated approach to global synchronization and state estimation for nonlinear singularly perturbed complex networks [PDF]
, 2015 This paper aims to establish a unified framework to handle both the exponential synchronization and state estimation problems for a class of nonlinear singularly perturbed complex networks (SPCNs).
Alsaadi, FE +4 more
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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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Dimension estimation for autonomous nonlinear systems [PDF]
, 2015 The problem of estimating the dimension of the state-space of an autonomous nonlinear system is considered. Assuming that sampled measurements of the output and finitely many of its time derivatives are available, an exhaustive search algorithm able to ...
Astolfi, A, Padoan, A
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Linear parameter estimation for multi-degree-of-freedom nonlinear systems using nonlinear output frequency-response functions [PDF]
, 2006 The Volterra series approach has been widely used for the analysis of nonlinear systems. Based on the Volterra series, a novel concept named Nonlinear Output Frequency Response Functions (NOFRFs) was proposed by the authors.
Billings, S.A., Lang, Z.Q., Peng, Z.K.
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Overview and Comparison of Nonlinear Interference Modelling Approaches in Ultra-Wideband Optical Transmission Systems [PDF]
, 2019 The recent advances in modelling nonlinear interference of systems operating beyond the C-band are discussed.
Bayvel, Polina +2 more
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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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