JOURNAL ARTICLE

Non‐fragile filtering for large‐scale power systems with sensor networks

Liangliang ZhangHongbin ZhangXuan Ding

Year: 2016 Journal:   IET Generation Transmission & Distribution Vol: 11 (4)Pages: 968-977   Publisher: Institution of Engineering and Technology

Abstract

In this study, the authors investigate the non‐fragile H ∞ filtering for large‐scale power systems with sensor networks to estimate the state of each subsystem and send the states to different sites. First, for the purpose of enhancing monitoring efficiency, each sensor measures the corresponding subsystem, which can avoid the paralysis of the entire monitoring system caused by the damage of a sensor. Second, they construct the non‐fragile filter to adapt the uncertain environment. Sufficient conditions are obtained to ensure that the filtering error system is asymptotically stable with a prescribed H ∞ performance level based on the robust control approach. The filter parameters are determined by solving a set of linear matrix inequalities. A simulation example, which shows the efficiency of the proposed methods is included in this study.

Keywords:
Control theory (sociology) Filter (signal processing) Set (abstract data type) Computer science Scale (ratio) Filtering problem Construct (python library) State (computer science) Stability theory Control (management) Algorithm Nonlinear system Filter design Artificial intelligence

Metrics

10
Cited By
1.21
FWCI (Field Weighted Citation Impact)
28
Refs
0.84
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Stability and Control of Uncertain Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Power System Optimization and Stability
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Stability and Controllability of Differential Equations
Physical Sciences →  Engineering →  Control and Systems Engineering
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