Results 241 to 250 of about 171,090 (289)

SET-MEMBERSHIP NONLINEAR FILTERING WITH SECOND-ORDER INFORMATION

IFAC Proceedings Volumes, 2005
In this paper, we develop a numerically efficient scheme for set-membership prediction and filtering for discrete-time nonlinear systems, that takes into explicit account the effects of nonlinearities via local second-order information. The filtering scheme is based on a classical prediction/update recursion that requires at each step the solution of a
CALAFIORE, Giuseppe Carlo, BONA, Basilio
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Set-membership filtering strategies for multipulse coding

2006 IEEE International Symposium on Circuits and Systems, 2006
This paper describes a new class of multi-pulse coders based on bounded-error identification. Multi-pulse coders provide effective representations of speech signals by extracting linear prediction parameters and approximating the effect of excitation signals with strategic sparse impulse sequences.
D. Joachim, R. Salmon, J.R. Deller
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Set-membership filtering for complex networks with constraint communication channels

Neural Networks, 2022
The set-membership filtering is studied for a class of multi-rate sampling complex networks with communication capacity constraint. For reducing communication load, the weighted try-once-discard scheduling protocol is utilized to transmit the most needed measurement. To improve the filtering performance, a novel mixed compensation method is proposed to
Chang Liu, Lixin Yang, Jie Tao, Yong Xu, Tingwen Huang   +4 more
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Quantized set-membership filtering with communication constraints

2013 IEEE International Symposium on Industrial Electronics, 2013
This paper addresses the set-membership filtering problem with communication constraints for a class of discrete time-varying systems in the presence of unknown-but-bounded process and measurement noises. The dynamic coder and decoder are proposed to model the digital communication channel to transmit the error between the current measurement output ...
Fuwen Yang, Qing-Long Han
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Set-Membership Filtering with Quadratic Inequality Constraints

2019 International Conference on Control, Automation and Information Sciences (ICCAIS), 2019
This paper investigates the problem of set-membership filtering for nonlinear dynamic systems with general nonconvex inhomogeneous quadratic inequality constraints. We propose an ellipsoidal state bounding estimation in the setting of unknown but bounded noise.
Xiaowei Li, Xuedong Yuan, Fanqin Meng, Yiwei Liao, Haiqi Liu, Xuqi Zhang, Xiaojing Shen   +6 more
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A nonlinear set‐membership filter for on‐line applications

International Journal of Robust and Nonlinear Control, 2003
AbstractA guaranteed estimator for a general class of nonlinear systems and on‐line usage is developed and analysed. This filter bounds the linearization error, then applies a linear set‐membership filter such that stability guarantees hold for nonlinear systems. A tight bound on the linearization error is found using interval analysis.
Scholte, Eelco, Campbell, Mark E.
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Set-membership filtering for systems with sensor saturation

Automatica, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yang, Fuwen, Li, Yongmin
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XOR-Satisfiability Set Membership Filters

2018
Set membership filters are used as a primary test for whether large sets contain given elements. The most common such filter is the Bloom filter [6]. Most pertinent to this article is the recently introduced Satisfiability (SAT) filter [31]. This article proposes the XOR-Satisfiability filter, a variant of the SAT filter based on random k-XORSAT ...
Sean A. Weaver, Hannah J. Roberts, Michael J. Smith   +2 more
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Noisy Bloom Filters for Multi-Set Membership Testing

ACM SIGMETRICS Performance Evaluation Review, 2016
This paper is on designing a compact data structure for multi-set membership testing allowing fast set querying. Multi-set membership testing is a fundamental operation for computing systems and networking applications. Most existing schemes for multi-set membership testing are built upon Bloom filter, and fall short in either storage space cost or ...
Haipeng Dai, Yuankun Zhong, Alex X. Liu, Wei Wang, Meng Li   +4 more
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Set-membership recursive least-squares adaptive filtering algorithm

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012
A new set-membership adaptive filtering algorithm is developed based on the exponentially-weighted RLS algorithm with a time-varying forgetting factor that is optimized at each iteration by imposing a bounded-magnitude constraint on the a posteriori filter output error.
Reza Arablouei, Kutluyil Dogancay
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