Dissipativity Verification With Guarantees for Polynomial Systems From Noisy Input-State Data
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2020.3037842
Abstract: In this letter, we investigate the verification of dissipativity properties for polynomial systems without an explicitly identified model but directly from noise-corrupted measurements. Contrary to most data-driven approaches for nonlinear systems, we determine dissipativity properties… read more here.
Keywords: polynomial systems; verification; noisy input; input state ... See more keywords
A Behavioral Approach to Data-Driven Control With Noisy Input-Output Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2023.3275014
Abstract: This paper deals with data-driven stability analysis and feedback stabillization of linear input-output systems in autoregressive (AR) form. We assume that noisy input-output data on a finite time-interval have been obtained from some unknown AR… read more here.
Keywords: noisy input; control; input output; data driven ... See more keywords
Robust maximum correntropy criterion subband adaptive filter algorithm for impulsive noise and noisy input
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2021.3095182
Abstract: In this brief, an improved maximum correntropy criterion subband adaptive filter (MCC-SAF) algorithm is presented, which has excellent performance for alleviating the effect of impulsive noise and noisy input. Though the MCC-SAF algorithm performs well… read more here.
Keywords: mcc saf; algorithm; noisy input; criterion ... See more keywords
Sparse-Aware Bias-Compensated Adaptive Filtering Algorithms Using the Maximum Correntropy Criterion for Sparse System Identification with Noisy Input
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DOI: 10.3390/e20060407
Abstract: To address the sparse system identification problem under noisy input and non-Gaussian output measurement noise, two novel types of sparse bias-compensated normalized maximum correntropy criterion algorithms are developed, which are capable of eliminating the impact… read more here.
Keywords: system; sparse; noisy input; system identification ... See more keywords