Results 251 to 260 of about 263,495 (272)

Nonlinear state estimation by Extended Parallelotope Set-Membership Filter

ISA Transactions, 2022
In this paper, we propose a state estimation method called the Extended Parallelotope Set-Membership Filter that provides a higher estimation accuracy than existing methods for discrete-time nonlinear systems. The Extended Parallelotope Set-Membership Filter is motivated by the fact that the iteration operations in existing methods generate much ...
Danyang Qu, Zheng Huang, Yiwen Zhao, Guoli Song, Kui Yi, Xingang Zhao   +5 more
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Attack detection based on set-membership estimation

2020 39th Chinese Control Conference (CCC), 2020
This paper investigates the attack detection problem for a class of uncertain time-varying systems with sensor saturation. The set-membership estimation approach is adopted to deal with the unknown-but-bounded (UBB) process and measurement noises.
Hao Liu, Xinrui Wang
openaire   +1 more source

Power system set membership state estimation

2012 IEEE Power and Energy Society General Meeting, 2012
In this paper, a power system set membership state estimator (SMSE) in a bounded-error context is proposed based on interval constraint propagation. Its effectiveness is tested with the IEEE 4-bus, 14-bus, 30-bus, 118-bus, and 300-bus systems. Comparison is made between SMSE and typical existing methods. Simulation results show that the proposed method
null Junjian Qi, null Guangyu He, null Shengwei Mei, null Feng Liu   +3 more
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Weighted Average Errors in Set-Membership Estimation

Mathematics of Control, Signals, and Systems (MCSS), 2003
The author considers the average behavior of estimation algorithms based on corrupted information, with values in a subspace of the problem element space. The paper deals with an optimal algorithm and derives exact error formulae in Euclidean norms in problem element and information spaces.
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Set-membership estimation for adaptive signal processing

1991 IEEE International Symposium on Circuits and Systems (ISCAS), 1991
The authors give a brief overview of the problem of set-membership estimation in adaptive signal processing. Recently, there seems to be a resurgence of interest in these types of estimation schemes as they feature 100% confidence regions for parameter estimates. Some of these recursive schemes also feature selective updating.
A.K. Rao, Y.-F. Kuang
openaire   +1 more source

Unfalsified weighted least squares estimates in set-membership identification

IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 1997
It is well known that the weighted least squares (WLS) identification algorithm provides estimates that are in general not in the membership set and in this sense are falsified estimates. This paper shows that: (1) if the noise bound is known, the WLS estimates can be made to lie in or converge to the membership set by choosing the weights properly and
Bai, EW, Qiu, L., Tempo, R.
openaire   +3 more sources

Estimation Theory for Nonlinear Models and Set Membership Uncertainty

Automatica, 1991
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Milanese M., Vicino A.
openaire   +4 more sources

Outlier‐robust set‐membership estimation for discrete‐time linear systems

International Journal of Robust and Nonlinear Control, 2021
AbstractIn many industrial applications, physical equipment for measuring may suffer from transient malfunctions, which can cause data outliers. This article addresses the problem of guaranteed set‐membership estimation of uncertain linear systems subject to outliers in measurements.
Chen, Aijun, Ngoc Dinh, Thach, Raissi, Tarek, Shen, Yi   +3 more
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Set membership estimation of day-ahead microgrids scheduling

2019 18th European Control Conference (ECC), 2019
The net power output of a MicroGrid (MG) is often scheduled using optimization-based strategies. Recently, the new figure of the Aggregator (AG) has been introduced with the role of intermediate broker in the energy market, efficiently managing the interaction between a cluster of MGs and the system operators.
La Bella, A, Fagiano, L, Scattolini, R
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Particle Filters for Set-membership State Estimation

2006 SICE-ICASE International Joint Conference, 2006
This paper proposes a new way of using particle filters for set-membership state estimation problems. For nonlinear state estimation problems, stochastic particle filters have been proposed which maintain a large number of solution candidates by using Monte-Carlo simulation. Set-membership approach for state estimation is an alternative method that is,
openaire   +1 more source