Name
Abstract | ||
|---|---|---|
This work investigates the guaranteed cost impulsive control of nonlinear positive systems via the T–S fuzzy model-based approach. A fuzzy impulsive control strategy is constructed using the parallel distributed compensation (PDC) technique, and the closed-loop form is then cast into an impulsive dynamic system. Furthermore, through the constructed discretized copositive Lyapunov function, the existence condition of impulsive controller is obtained for ensuring the closed-loop system to be positive and exponentially stable, and a specific level of performance can also be guaranteed. The salient feature of the proposed controller design methodology is that the impulse interval partitioning technique is made full use of to get less conservative conditions. Finally, a pest management application demonstrates the usefulness of the developed impulsive controller design technique. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1007/s40815-021-01202-x | International Journal of Fuzzy Systems |
Keywords | DocType | Volume |
Nonlinear systems, Impulsive control, Positive characteristics, T–S fuzzy model, Guaranteed cost control | Journal | 24 |
Issue | ISSN | Citations |
3 | 1562-2479 | 0 |
PageRank | References | Authors |
0.34 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Baolong Zhu | 1 | 0 | 0.34 |
| Haixia Wang | 2 | 0 | 0.34 |
| Jie Zhang | 3 | 0 | 0.34 |
| Peng Zhao | 4 | 0 | 0.34 |