Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4974595 | Journal of the Franklin Institute | 2016 | 27 Pages |
Abstract
An Hâ/Hâ sensor fault detection and isolation problem is investigated for continuous- and discrete-time Takagi-Sugeno fuzzy systems with state delay and immeasurable premise variables. A bank consisting of the sensor's number of fuzzy observers is adopted. A fuzzy observer gain and a fuzzy residual gain in each observer are designed such that the residual is sensitive to a certain partial group of faults and robust against disturbance. Sufficient design conditions are derived in nonlinear matrix inequality format and a numerically tractable algorithm involving a convex optimization is presented based on the cone complementary linearization technique. A simulation is provided to verify the effectiveness of the proposed technique.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Sung Chul Jee, Ho Jae Lee,