Results 11 to 20 of about 263,495 (272)

Nested Sampling Approach to Set-membership Estimation

open access: yesIFAC-PapersOnLine, 2020
Abstract This paper is concerned with set-membership estimation in nonlinear dynamic systems. The problem entails characterizing the set of all possible parameter values such that given predicted outputs match their corresponding measurements within prescribed error bounds.
Paulen, R, Gomoescu, L, Chachuat, B
openaire   +2 more sources

Zonotopic set-membership estimation for interval dynamic systems [PDF]

open access: yes2012 American Control Conference (ACC), 2012
This paper presents an improved method for guaranteed state estimation of discrete-time linear-time varying systems affected by disturbances, noises and structured uncertainties modeled as interval uncertainties. Under the hypothesis that the disturbances and the noises are bounded, a zonotopic outer approximation of the state estimation domain is ...
Le, Vu Tuan Hieu   +4 more
openaire   +1 more source

Spherical q-linear Diophantine fuzzy aggregation information: Application in decision support systems

open access: yesAIMS Mathematics, 2023
The main goal of this article is to reveal a new generalized version of the q-linear Diophantine fuzzy set (q-LDFS) named spherical q-linear Diophantine fuzzy set (Sq-LDFS).
Shahzaib Ashraf   +3 more
doaj   +1 more source

Collaborative Bearing Estimation Using Set Membership Methods

open access: yes2023 26th International Conference on Information Fusion (FUSION), 2023
7 pages, 6 figures, Fusion 2023 ...
Zamani, Mohammad   +2 more
openaire   +2 more sources

Robust Estimation of Vehicle Motion States Utilizing an Extended Set-Membership Filter

open access: yesApplied Sciences, 2020
Reliable vehicle motion states are critical for the precise control performed by vehicle active safety systems. This paper investigates a robust estimation strategy for vehicle motion states by feat of the application of the extended set-membership ...
Jianfeng Chen   +5 more
doaj   +1 more source

Zonotopic Set-Membership State Estimation for Switched LPV Systems

open access: yesIFAC-PapersOnLine, 2023
This work has been co-financed by the Spanish State Research Agency (AEI) and the European Regional Development Fund (ERFD) through the project SaCoAV (ref.
Zhang, Shuang, Puig, Vicenc, Ifqir, Sara
openaire   +4 more sources

Set-membership parity space approach for fault detection in linear uncertain dynamic systems [PDF]

open access: yes, 2016
Special Issue: Set-Membership Methods Applied to FDI and FTC.In this paper, a set-membership parity space approach for linear uncertain dynamic systems is proposed.
Blesa, Joaquim   +3 more
core   +2 more sources

A probabilistic interpretation of set-membership filtering: application to polynomial systems through polytopic bounding [PDF]

open access: yes, 2016
Set-membership estimation is usually formulated in the context of set-valued calculus and no probabilistic calculations are necessary. In this paper, we show that set-membership estimation can be equivalently formulated in the probabilistic setting by ...
Benavoli, Alessio, Piga, Dario
core   +2 more sources

Robust set‐membership state estimator against outliers in data [PDF]

open access: yesIET Control Theory & Applications, 2020
Based on interval computation, a set‐membership state estimator capable to manage a certain type of outliers in measurements is proposed for uncertain discrete‐time linear systems. To achieve this purpose, two set‐valued filtering techniques are implemented in the presented state estimation algorithm.
Nacim Meslem, Ahmad Hably
openaire   +3 more sources

Set-Membership Based Hybrid Kalman Filter for Nonlinear State Estimation under Systematic Uncertainty

open access: yesSensors, 2020
This paper presents a new set-membership based hybrid Kalman filter (SM-HKF) by combining the Kalman filtering (KF) framework with the set-membership concept for nonlinear state estimation under systematic uncertainty consisted of both stochastic error ...
Yan Zhao   +3 more
doaj   +1 more source

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