Results 11 to 20 of about 49,604 (295)
Instrumentation for Verification of Shunt Active Power Filter Algorithms
Sensors, 2023 This article presents a comprehensive system for testing and verifying shunt active power filter control methods. The aim of this experimental platform is to provide tools to a user to objectively compare the individual control methods. The functionality
Jan Baros +6 more
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IEEE Access, 2020 This paper proposes a new active noise control (ANC) system based on a recursive least-squares lattice (RLSL) algorithm by designing secondary-path innovation (SPI) and lattice-order decision (LOD) algorithms.
Dong Woo Kim, Poogyeon Park
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IEEE transactions on power electronics, 2020 In the back electromotive force (EMF)-based sensorless control of interior permanent magnet synchronous motor (IPMSM), the inverter nonlinearity and flux linkage spatial harmonics will possibly give rise to (6k ± 1)th harmonics in the estimated back EMF,
Xuan Wu +6 more
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Possible solution of parallel FIR filter structure [PDF]
Serbian Journal of Electrical Engineering, 2005 In this paper, a parallel form FIR adaptive filter structure with RLS (Recursive Least Squares) type adaptive algorithm is proposed. The proposed parallel form FIR structure consists of a recursive orthogonal transform stage and sparse FIR sub filters ...
Petrović Predrag
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A Battery SOC Estimation Method Based on AFFRLS-EKF
Sensors, 2021 The lithium-ion battery is the key power source of a hybrid vehicle. Accurate real-time state of charge (SOC) acquisition is the basis of the safe operation of vehicles. In actual conditions, the lithium-ion battery is a complex dynamic system, and it is
Ming Li +4 more
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Journal of Communications Software and Systems, 2022 In this paper, we study the problem of beam tracking of a multipath channel in millimeter-wave massive MIMO communication system using adaptive filters. We focus on the performance of least-mean-square filter (LMS) and recursive least-squares filter (RLS)
Mohanad Al-Ibadi, Farhad E. Mahmood
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Bootstrapping Particle Filters using Kernel Recursive Least Squares [PDF]
2007 IEEE Aerospace Conference, 2007 Although particle filters are extremely effective algorithms for object tracking, one of their limitations is a reliance on an accurate model for the object dynamics and observation mechanism. The limitation is circumvented to some extent by the incorporation of parameterized models in the filter, with simultaneous on-line learning of model parameters,
Boris Oreshkin, Mark Coates
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New Improved Recursive Least-Squares Adaptive-Filtering Algorithms [PDF]
IEEE Transactions on Circuits and Systems I: Regular Papers, 2013 Two new improved recursive least-squares adaptive-filtering algorithms, one with a variable forgetting factor and the other with a variable convergence factor are proposed. Optimal forgetting and convergence factors are obtained by minimizing the mean square of the noise-free a posteriori error signal.
Md. Zulfiquar Ali Bhotto +1 more
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Advances in Mechanical Engineering, 2016 In this article, we consider the identification problem of a class of nonlinear multiple-input single-output output-error autoregressive systems. First, a recursive generalized least squares algorithm using the auxiliary model identification idea is ...
Cheng Wang, Jing Xun
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Robust State Estimation for Uncertain Discrete Linear Systems with Delayed Measurements
Mathematics, 2022 Measurement delays and model parametric uncertainties are meaningful issues in actual systems. Addressing the simultaneous existence of random model parametric uncertainties and constant measurement delay in the discrete-time linear systems, this study ...
Zhijun Li +3 more
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