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Fuzzy H (alpha) FIR Filtering for T-S Fuzzy Systems with Quantization and Packet Dropout
- Authors
- Lee, Chang Joo; Lim, Myo Taeg
- Issue Date
- 6월-2018
- Publisher
- INST CONTROL ROBOTICS & SYSTEMS, KOREAN INST ELECTRICAL ENGINEERS
- Keywords
- Bernoulli random process; finite impulse response (FIR) structure; H-infinity filtering; logarithmic quantizer; packet dropout; quantization; Takagi-Sugeno (T-S) fuzzy systems
- Citation
- INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, v.16, no.3, pp.961 - 971
- Indexed
- SCIE
SCOPUS
KCI
- Volume
- 16
- Number
- 3
- Start Page
- 961
- End Page
- 971
- ISSN
- 1598-6446
- Abstract
- This paper proposes a new fuzzy H (a) 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 (a) FIR filter is in the form of fuzzy-basis-independent linear matrix inequalities (LMIs) that guarantee H (a) performance. Two simulation examples are given to illustrate the effectiveness and robustness of the proposed fuzzy H (a) FIR filter.
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