Results 21 to 30 of about 118,102 (264)
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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The Estimation of Iranian Money Demand Function: Smooth Transition Autoregression with Interest Rate Threshold [PDF]
فصلنامه پژوهشهای اقتصادی ایران, 2019 The main objective of this study is to evaluate the effect of saving rate on money demand function’s regime change in the framework of nonlinear smooth transition auto-regressive method covering the period 1352-1396.
Madjid Hatefi Madjumerd +2 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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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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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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Revista Facultad de Ingeniería Universidad de Antioquia, 2015 This paper proposes an off-line method to determine the electrical parameters of an induction machine based on two instantaneous indicators (impedance and power). The method uses the induction machine start-up voltage and current measurements. Also, the
Johnny Wladimir Rengifo-Santana +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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Journal of the Royal Statistical Society Series B: Statistical Methodology, 1971 Summary Although it is widely recognized that maximum-likelihood estimates of the parameters in non-linear models are generally biased, little work appears to have been done on quantitatively assessing these biases. In this paper the difficulties of exact calculation of the bias for a simple example are first illustrated, after which a ...
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Nonlinear Blind Parameter Estimation [PDF]
IEEE Transactions on Automatic Control, 2008 This note deals with parameter estimation of nonlinear continuous-time models when the input signals of the corresponding system are not measured. The contribution of the note is to show that, with simple priors about the unknown input signals and using derivatives of the output signals, one can perform the estimation procedure.
Lagrange, Sébastien +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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