Abstract
In this paper, we present a novel adaptive performance control approach for strict-feedback nonparametric systems with unknown time-varying control coefficients, which mainly includes the following steps. Firstly, by introducing several key transformation functions and selecting the initial value of the time-varying scaling function, the symmetric prescribed performance with global and semi-global properties can be handled uniformly, without the need for control re-design. Secondly, to handle the problem of unknown time-varying control coefficient with an unknown sign, we propose an enhanced Nussbaum function (ENF) bearing some unique properties and characteristics, with which the complex stability analysis based on specific Nussbaum functions as commonly used is no longer required. Thirdly, by utilizing the core-function information technique, the non-parametric uncertainties in the system are gracefully handled so that no approximator is required. Furthermore, simulation results verify the effectiveness and benefits of the approach.
| Original language | English |
|---|---|
| Pages (from-to) | 451-461 |
| Number of pages | 11 |
| Journal | IEEE/CAA Journal of Automatica Sinica |
| Volume | 10 |
| Issue number | 2 |
| Early online date | 28 Nov 2022 |
| DOIs | |
| Publication status | Published - Feb 2023 |
| Externally published | Yes |
Bibliographical note
Recommended by Associate Editor Qing-Long Han.Publisher Copyright:
© 2014 Chinese Association of Automation.
Funding
This work was supported in part by the National Key Research and Development Program of China (2021ZD0201300) and in part by the National Natural Science Foundation of China (61860206008, 61933012).
Keywords
- Adaptive control
- enhanced Nussbaum function (ENF)
- strict-feedback systems
- unified prescribed performance