Set membership filtering for discrete saturated time‐varying networked systems with incomplete measurements under round‐robin protocol

Author:

Han Cong12,Chen Dongyan12ORCID,Hu Jun12,Yu Hui12

Affiliation:

1. Department of Mathematics Harbin University of Science and Technology Harbin China

2. Heilongjiang Provincial Key Laboratory of Optimization Control and Intelligent Analysis for Complex Systems Harbin University of Science and Technology Harbin Heilongjiang China

Abstract

AbstractIn this paper, the set membership filtering problem is investigated for a class of discrete networked systems with time delay and state saturation under the round‐robin (RR) protocol, where the system noise is unknown but bounded. In order to reduce the communication burden, the RR protocol is used to schedule the measurement information of the system. In addition, the incompleteness of the measurement information is considered. A set membership filter is established based on incomplete measurements. The objective is to give a criterion that the filtering error is confined to the ellipsoidal set by using the recursive linear matrix inequality (RLMI) method. Moreover, a convex optimization method is proposed to minimize the obtained ellipsoids. Finally, a numerical simulation illustrates that the designed set membership filtering scheme is effective.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Control and Systems Engineering,Electrical and Electronic Engineering,Mathematics (miscellaneous)

Reference28 articles.

1. Ultimately Bounded Filtering Subject to Impulsive Measurement Outliers

2. L.Zou Z.Wang J.Hu andH.Dong Partial‐nodes‐based state estimation for delayed complex networks under intermittent measurement outliers: a multiple order‐holder approach. IEEE Transactions on Neural Networks and Learning Systems in press DOI10.1109/TNNLS.2021.3138979.

3. Kalman Filtering With Intermittent Observations: On the Boundedness of the Expected Error Covariance

4. Stochastic Stability Condition for the Extended Kalman Filter With Intermittent Observations

5. Event-triggered H∞ filter design for sampled-data systems with quantization

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