Abstract
In this paper, the robust finite-horizon filtering problem is investigated for a class of uncertain nonlinear discrete time-varying stochastic systems with multiple missing measurements and error variance constraints. The stochastic nonlinearities are described by statistical means which can cover several classes of well-studied nonlinearities. The measurement missing phenomenon is also considered. Sufficient conditions are derived for a finite-horizon filter to satisfy the estimation error variance constraints. These conditions are expressed in terms of the feasibility of a series of recursive linear matrix inequalities (RLMIs). An illustrative simulation example is given to show the the effectiveness of the proposed algorithm. © 2010 IEEE.
| Original language | English |
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| Title of host publication | 2010 8th IEEE International Conference on Control and Automation, ICCA 2010 |
| Pages | 590-595 |
| DOIs | |
| Publication status | Published - 2010 |
| Externally published | Yes |
| Event | 8th IEEE International Conference on Control and Automation (IEEE ICCA 2010) - Xiamen, China Duration: 9 Jun 2010 → 11 Jun 2010 |
Conference
| Conference | 8th IEEE International Conference on Control and Automation (IEEE ICCA 2010) |
|---|---|
| Place | China |
| City | Xiamen |
| Period | 9/06/10 → 11/06/10 |
Research Keywords
- Discrete time-varying systems
- Error variance constraint.
- Recursive matrix inequalities
- Stochastic nonlinearities
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