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 |
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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 |
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