Multicriteria Adaptive Observers for Singular Systems with UnknownTime-Varying Parameters
| Autor: | Sangchul Won, Wookyong Kwon, Soohee Han, Chong Soo Lee, Jaepil Ban |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Mathematical optimization Article Subject General Mathematics Attenuation lcsh:Mathematics General Engineering 02 engineering and technology Singular systems Function (mathematics) lcsh:QA1-939 Upper and lower bounds Set (abstract data type) Integral action Pareto optimal 020901 industrial engineering & automation Control theory lcsh:TA1-2040 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Invariant (mathematics) lcsh:Engineering (General). Civil engineering (General) Mathematics |
| Zdroj: | MATHEMATICAL PROBLEMS IN ENGINEERING Mathematical Problems in Engineering, Vol 2017 (2017) |
| Popis: | This paper proposes multicriteria adaptive observers for a class of singular systems with unknown time-varying parameters. Two criteria for theH∞disturbance attenuation level and the upper bound of an ultimate invariant set are scalarized into a single cost function and then it is minimized by varying the weight parameter, which creates the optimal trade-off curve or Pareto optimal points. The proposed multicriteria adaptive observers are shown to be able to easily include integral action for better robust performance. It is demonstrated with numerical simulations that the proposed multicriteria adaptive observers provide the good estimation accuracy and allow effective and compromising design by considering two different cost functions simultaneously. |
| Databáze: | OpenAIRE |
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