JOURNAL ARTICLE

Non-Fragile Robust H∞ Filtering of Takagi-Sugeno Fuzzy Networked Control Systems with Sensor Failures

Hao WangShousheng XieBin ZhouWeixuan Wang

Year: 2019 Journal:   Sensors Vol: 20 (1)Pages: 27-27   Publisher: Multidisciplinary Digital Publishing Institute

Abstract

The fault-tolerant robust non-fragile H∞ filtering problem for networked control systems with sensor failures is studied in this paper. The Takagi-Sugeno fuzzy model which can appropriate any nonlinear systems is employed. Based on the model, a filter which can maintain stability and H∞ performance level under the influence of gain perturbation of the filter and sensor failures is designed. Moreover, the gain matrix of sensor failures is converted into a dynamic interval to expand the range of allowed failures. And the sufficient condition for the existence of the desired filter is derived in terms of linear matrix inequalities (LMIs) solutions. Finally a simulation example is given to illustrate the effectiveness of the proposed method.

Keywords:
Control theory (sociology) Filter (signal processing) Fuzzy logic Nonlinear system Computer science Fault detection and isolation Fuzzy control system Linear matrix inequality Fault tolerance Robustness (evolution) Perturbation (astronomy) Control engineering Control (management) Mathematics Engineering Mathematical optimization Distributed computing Artificial intelligence

Metrics

11
Cited By
1.65
FWCI (Field Weighted Citation Impact)
30
Refs
0.85
Citation Normalized Percentile
Is in top 1%
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Citation History

Topics

Stability and Control of Uncertain Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications
Fault Detection and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
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