期刊
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
卷 51, 期 1, 页码 326-338出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMC.2018.2871100
关键词
Partly measurable premise variables; reachable set; T-S fuzzy system; time-varying delay
资金
- National Natural Science Foundation of China [61873056, 61473068, 61273148, 61621004, 61420106016]
- Fundamental Research Funds for the Central Universities [N170405004]
- Research Fund of the State Key Laboratory of Synthetical Automation for Process Industries [2013ZCX01]
This paper investigates the local stabilization problem for T-S fuzzy systems with partly measurable premise variables and time-varying delay. A novel output feedback controller scheme is proposed using the measurable premise variables, and the system state can be contained into a prespecified area by restricting the reachable set to an ellipsoid set. The new asynchronous controller strategy can make less conservative results by utilizing the information of the measurable premise variables and deviation caused by network delay.
This paper investigates the local stabilization problem for T-S fuzzy systems with partly measurable premise variables and time-varying delay. First, by using the measurable premise variables, a novel output feedback controller scheme is proposed. Second, via restricting the reachable set into an ellipsoid set, which is bounded by the objective region, the system state can be contained into a prespecified area so that the purpose of local stabilization can be fulfilled. Furthermore, because of network delay, there is a deviation between the membership function of the system and those of the controller. By exploring the information of the deviation, the stabilization condition can be further relaxed. Compared with the existing results, the new asynchronous controller strategy can simultaneously make full use of the information of the measurable premise variables and the aforementioned deviation for a less conservative result. Finally, an illustrative example is given to show the applicability of the presented approach.
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