Name
Abstract | ||
|---|---|---|
This paper investigates the reduced-order filter design method for fuzzy Markov jump affine systems with dynamic event-triggered protocol and uncertain packet dropouts. Aiming at approximating the nonlinearities with high accuracy and broadening practical application, the fuzzy Markov jump affine systems associated with mode-dependent operating regions are developed. A novel nonhomogeneous Markov process is proposed to describe the generalized stochastic jumping among subsystems, whose time-varying transition probabilities are orchestrated by a higher-level deterministic switching signal. Compared with the conventional Markov process with arbitrary switchings, the average dwell-time strategy is adopted in the novel nonhomogeneous Markov process to improve the dynamic performance. A dynamic event-triggered protocol is provided to alleviate the network transmission burden by elongating the interval between any two consecutive events. Based on the variation of state-space partitions, nonsynchronous reduced-order generalized filters are considered. Under this framework, sufficient criteria are attained to ensure stochastic stability and prescribed l2−l∞ performance for the filtering error systems. Eventually, the theoretical findings are verified by two simulation examples. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.automatica.2022.110321 | Automatica |
Keywords | DocType | Volume |
Markov jump systems,Dynamic event-triggered protocol,Reduced-order filter,Average dwell-time,Fuzzy model | Journal | 141 |
ISSN | Citations | PageRank |
0005-1098 | 1 | 0.36 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Cheng | 1 | 536 | 43.22 |
| Yuyan Wu | 2 | 1 | 0.36 |
| Huaicheng Yan | 3 | 843 | 55.33 |
| Zhengguang Wu | 4 | 3550 | 137.72 |
| Kaibo Shi | 5 | 213 | 25.47 |