Abstract
This paper proposes a new fuzzy H∞ finite impulse response (FIR) filter with quantization and packet dropout for Takagi–Sugeno (T–S) fuzzy systems with external disturbance. The measurements are quantized by a logarithmic quantizer and then transmitted from the plant to the filter imperfectly due to random packet loss described by the Bernoulli random process. The proposed fuzzy H∞ FIR filter is in the form of fuzzy-basis-independent linear matrix inequalities (LMIs) that guarantee H∞ performance. Two simulation examples are given to illustrate the effectiveness and robustness of the proposed fuzzy H∞ FIR filter.
| Original language | English |
|---|---|
| Pages (from-to) | 961-971 |
| Number of pages | 11 |
| Journal | International Journal of Control, Automation and Systems |
| Volume | 16 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2018 Jun 1 |
Bibliographical note
Funding Information:Manuscript received August 4, 2017; revised October 17, 2017; accepted October 30, 2017. Recommended by Associate Editor Choon Ki Ahn under the direction of Editor Euntai Kim. This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (Grant No. NRF-2016R1D1A1B01016071).
Publisher Copyright:
© 2018, Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature.
Keywords
- Bernoulli random process
- H filtering
- Takagi–Sugeno (T–S) fuzzy systems
- finite impulse response (FIR) structure
- logarithmic quantizer
- packet dropout
- quantization
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications