Wang Huimin, Yang Guang-Hong
College of Information Science and Engineering, Northeastern University, Shenyang 110819, PR China.
College of Information Science and Engineering, Northeastern University, Shenyang 110819, PR China; State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, PR China.
ISA Trans. 2016 Sep;64:202-215. doi: 10.1016/j.isatra.2016.06.007. Epub 2016 Jun 24.
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 H∞-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.