Abstract
In this work, we present a new approach to design event-triggered adaptive control for a class of uncertain nonlinear systems with guaranteed performance. A prescribed performance function, which is characterized with the convergence rate, maximum overshoot, and steady error, is utilized to convert the original tracking error into a new error variable, resulting in a transformed error dynamic model. By designing event-triggered control for the transformed error dynamic model, the corresponding control scheme is able to ensure prescribed performance and reduce communication burden simultaneously. Simulation verification also confirms the effectiveness of the proposed approach.
| Original language | English |
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| Title of host publication | Proceedings of the 2018 IEEE Conference on Decision and Control, CDC 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1246-1251 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538613955 |
| DOIs | |
| Publication status | Published - 2 Jul 2018 |
| Externally published | Yes |
Publication series
| Name | Proceedings of the IEEE Conference on Decision and Control |
|---|---|
| Volume | 2018-December |
| ISSN (Print) | 0743-1546 |
| ISSN (Electronic) | 2576-2370 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
Funding
This work was partially supported by the National Natural Science Foundation of China under Grant 61860206008 and 61773081; Fundamental Research Funds for the Central University under Grant 2018CDYJSY0055; the Technology Transformation Program of Chongqing Higher Education University under Grant KJZH17102.