Results 1 to 10 of about 67,963 (266)
On the Global Convergence of a Filter--SQP Algorithm
SIAM Journal on Optimization, 2002 A mechanism for proving global convergence in sequential quadratic programming (SQP) filter methods for nonlinear programs is described. The proposed algorithm contains a convergent inner iteration for calculating a suitable trust region radius.
Sven Leyffer, Roger Fletcher
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On Stability and Convergence of Distributed Filters [PDF]
IEEE Signal Processing Letters, 2021 Recent years have bore witness to the proliferation of distributed filtering techniques, where a collection of agents communicating over an ad-hoc network aim to collaboratively estimate and track the state of a system. These techniques form the enabling technology of modern multi-agent systems and have gained great importance in the engineering ...
Sayed Pouria Talebi +3 more
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Performance analysis of SMI filter for antenna array receiver in pulse interference environment
Frontiers in Physics, 2023 This paper analyzes the performance of sample matrix inversion (SMI) filter used by antenna array receivers in pulse interference environment. Firstly, from the perspective of comparison, it is proved that the theoretical optimal signal to interference ...
Jie Wang +5 more
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IEEE Access, 2022 The three-phase DSTATCOM is prone to higher dynamics due to grid disturbances. The proportionate affine projection algorithm (PAPA) is an adaptive filter that can be used for DSTATCOM control.
Arobinda Dash +5 more
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On the convergence of the ensemble Kalman filter [PDF]
Applications of Mathematics, 2011 Convergence of the ensemble Kalman filter in the limit for large ensembles to the Kalman filter is proved. In each step of the filter, convergence of the ensemble sample covariance follows from a weak law of large numbers for exchangeable random variables, the continuous mapping theorem gives convergence in probability of the ensemble members, and $L^p$
Mandel, Jan +2 more
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Kernel Adaptive Filtering Prediction Algorithm of Chaotic Time Series [PDF]
Zhengzhou Daxue xuebao. Gongxue ban, 2023 In practical environment, chaotic time series often contain a lot of noise and outliers. Because of these interference factors, the prediction performance of the kernel adaptive filter based on the second-order similarity measure could decrease ...
LIU Qiang +3 more
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L-filters and L-filter convergence [PDF]
International Journal of Fuzzy Logic and Intelligent Systems, 2009 In this paper, we study the relations between L-fuzzy topologies and L-filters on a strictly two-sided, commutative quantale lattice L. We define an L-fuzzy neighborhood filter and introduce the notion of L-filter convergence in L-fuzzy topological spaces.
Jung Mi Ko, Yong Chan Kim
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Superlinear Convergence and Implicit Filtering [PDF]
SIAM Journal on Optimization, 2000 Summary: We show how the implicit filtering algorithm can be coupled with the BFGS quasi-Newton update to obtain a superlinearly convergent iteration if the noise in the objective function decays sufficiently rapidly as the optimal point is approached.
T. D. Choi, C. T. Kelley
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Prediction Error Method (PEM)-Based Howling Cancellation in Hearing Aids: Can We Do Better?
IEEE Access, 2023 This work develops an effective technique acoustic feedback cancellation (AFC) in the digital hearing aid (DHAid) devices. The normalized least mean square (NLMS) algorithm-based AFC method may suffer from a biased convergence.
Muhammad Tahir Akhtar +2 more
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Noise control with Kalman filter for active headrest
Xibei Gongye Daxue Xuebao, 2021 A control strategy with Kalman filter (KF) is proposed for active noise control of virtual error signal for active headset. Comparing with the gradient based algorithm, KF algorithm has faster convergence speed and better convergence performance. In this
WANG Lei, CHEN Kean, XU Jian, QI Wang
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