A Continuous Reconstruction Observer for Sampled-Data Linear Time Varying Systems
| Autor: | Fahad Mumtaz Malik, Rahat Ali, Atif Qayyum, Mohammad Bilal Malik |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
General Computer Science Observer (quantum physics) Exponential convergence 020208 electrical & electronic engineering General Engineering 02 engineering and technology State (functional analysis) Sampled-data Stability (probability) linear time varying system 020901 industrial engineering & automation Impulsive observer Control theory Convergence (routing) 0202 electrical engineering electronic engineering information engineering General Materials Science lcsh:Electrical engineering. Electronics. Nuclear engineering lcsh:TK1-9971 Time complexity Mathematics Sampled data systems |
| Zdroj: | IEEE Access, Vol 6, Pp 17223-17231 (2018) |
| ISSN: | 2169-3536 |
| DOI: | 10.1109/access.2018.2789731 |
| Popis: | In this paper, a novel continuous sampled-data observer for linear time-varying systems is presented. The proposed observer is based on two different impulsive observers. The state estimates of these impulsive observers are fused in a manner such that continuous state estimation is achieved. Another significant contribution is comprehensive stability analysis of the proposed observer. The analysis establishes conditions that guarantee exponential convergence of observers. Contrary to the common understanding, it is revealed that the convergence of associated discrete-time equation for impulsive observers is not a sufficient condition for overall convergence. Contributions are illustrated by simulations. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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