Abstract
In this study, the designing problem of event-triggered nonfragile state observer of discrete time nonlinear systems affected by both unmeasurable premise variables and bounded disturbances is investigated. The complex nonlinear systems are expressed utilizing interval type-2 Takagi-Sugeno fuzzy models with upper and lower membership functions. A design scheme of nonfragile observer is presented for estimating the states. Event-Triggered mechanism as a powerful way to realize a tradeoff between system performance and signal transmission frequency is introduced to alleviate network transmission load. A fuzzy observer design approach is presented within the frame of quadratic boundedness theory, and the criterion of the estimated error dynamical system possessing quadratic stability is given. The desirable observer parameter matrices are given in virtue of linear matrix inequality. Through a simulation example, the feasibility of the addressed fuzzy observer methodology is verified.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2022 Chinese Automation Congress, CAC 2022 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 2415-2420 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781665465335 |
| DOIs | |
| State | Published - 2022 |
| Event | 2022 Chinese Automation Congress, CAC 2022 - Xiamen, China Duration: 25 Nov 2022 → 27 Nov 2022 |
Publication series
| Name | Proceedings - 2022 Chinese Automation Congress, CAC 2022 |
|---|---|
| Volume | 2022-January |
Conference
| Conference | 2022 Chinese Automation Congress, CAC 2022 |
|---|---|
| Country/Territory | China |
| City | Xiamen |
| Period | 25/11/22 → 27/11/22 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- event-Triggered protocol
- interval type-2 Takagi-Sugeno fuzzy models
- nonfragile observer
- quadratic boundedness
- unmeasurable premise variables
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