Abstract
This paper addresses the problem of reconstructing measurement noises and sensor faults in uncertain nonlinear dynamic systems under Lipschitz condition. A descriptor observer based approach is proposed, where an auxiliary state vector consisting of measurement noise and sensor fault is introduced to build an augmented descriptor system. Based on the descriptor system, a descriptor observer is designed for the state estimation and noise/sensor fault reconstruction. Using the linear matrix inequality technique, estimation convergence condition is established. It is shown that by selecting the observer parameters properly, desired reconstruction precision can be achieved. A numerical example is presented to illustrate the design procedures, and the simulation results show the satisfactory estimation performance.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 2764-2769 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781479970179 |
| DOIs | |
| Publication status | Published - Jul 2015 |
| Externally published | Yes |
Funding
This work is supported in part by the Major State Basic Research Development Program 973 (No.2012CB215202) and the National Natural Science Foundation of China (No.61134001).
Keywords
- descriptor observer
- measurement noises
- sensor faults
- uncertain nonlinear systems