Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5004166 | ISA Transactions | 2016 | 14 Pages |
â¢The convex control synthesis problem for affine T-S fuzzy systems using quantized measurements is investigated.â¢The influence of quantized measurements on premise variables is first considered.â¢The proposed control scheme needs less LMI constraints and guarantees a better steady performance than the existing results.
This paper investigates the problem of dynamic output feedback control for affine T-S fuzzy systems with quantized measurements. By using the S-procedure, the unmatched regions between the plant and the controller caused by quantization errors are considered in control synthesis. A novel piecewise dynamic output feedback control design is presented, which reduces the worst case peak output due to quantization errors and guarantees an Hâ-norm bound constraint. In contrast to the existing results, the derived design condition leads to better steady-state performance and less computational burden. Numerical examples are given to show the superiority and effectiveness of the new method.