Abstract
In this paper, an adaptive control for strict-feedback nonlinear systems with output constraint is investigated. Different from the Barrier Lyapunov Function (BLF) based constant constraint control methods, an nonlinear output-dependent transformation is introduced, which removes the commonly used conservative design of converting the output constraint into tracking error related constraint, relaxing the requirement on the initial condition of system output; Then by constructing a new coordinate transformation, together with the backstepping and tuning function techniques, the developed adaptive control ensures that all signals in the closed-loop systems are bounded and the symmetric output constraint is not violated. Furthermore, to deal with the asymmetric yet time-varying output constraint and to reduce the difficulty of stability analysis in the asymmetric BLF (ABLF) control schemes, another nonlinear output-dependent transformation is developed such that the output constraint can be handled directly and the extra effort to ensure the continuity and differentiability of virtual controllers is not needed. The effectiveness and superiority of the proposed method has also be validated via numerical simulation.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 3rd International Symposium on Autonomous Systems, ISAS 2019 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 294-299 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781728112985 |
| DOIs | |
| Publication status | Published - May 2019 |
| Externally published | Yes |
| Event | The 3rd International Symposium on Autonomous Systems, ISAS 2019 - Shanghai, China Duration: 29 May 2019 → 31 May 2019 |
Conference
| Conference | The 3rd International Symposium on Autonomous Systems, ISAS 2019 |
|---|---|
| Abbreviated title | ISAS 2019 |
| Country/Territory | China |
| City | Shanghai |
| Period | 29/05/19 → 31/05/19 |
Bibliographical note
Publisher Copyright:© 2019 IEEE.
Funding
This work was supported in part by the Fundamental Research Funds for the Central Universities under Project No. 2018CDPTCG0001/43 and in part by the National Natural Science Foundation of China under Grant 61860206008, 61773081, 61503021.