Sliding-mode observers for systems with unknown inputs: A high-gain approach |
| |
Authors: | Karanjit Kalsi [Author Vitae] Jianming Lian [Author Vitae] |
| |
Affiliation: | a School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA b Department of Mathematical Sciences, San Diego State University, San Diego, CA 92182, USA |
| |
Abstract: | Sliding-mode observers can be constructed for systems with unknown inputs if the so-called observer matching condition is satisfied. However, most systems do not satisfy this condition. To construct sliding-mode observers for systems that do not satisfy the observer matching condition, auxiliary outputs are generated using high-gain approximate differentiators and then employed in the design of sliding-mode observers. The state estimation error of the proposed high-gain approximate differentiator based sliding-mode observer is shown to be uniformly ultimately bounded with respect to a ball whose radius is a function of design parameters. Finally, the unknown input reconstruction using the proposed observer is analyzed and then illustrated with a numerical example. |
| |
Keywords: | Sliding-mode observer High-gain approximate differentiator Unknown input reconstruction |
本文献已被 ScienceDirect 等数据库收录! |
|