Dissipative reset adaptive observer for a class of singular systems
Autor: | Yongsik Jin, Wookyong Kwon, Sang-Moon Lee, Jongpil Yun |
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Rok vydání: | 2017 |
Předmět: |
0209 industrial biotechnology
Class (set theory) Observer (quantum physics) Computer science Stability (learning theory) 02 engineering and technology Term (time) Adaptive observer 020901 industrial engineering & automation Control theory Convergence (routing) 0202 electrical engineering electronic engineering information engineering Dissipative system 020201 artificial intelligence & image processing Reset (computing) |
Zdroj: | ASCC |
DOI: | 10.1109/ascc.2017.8287498 |
Popis: | In this paper, we propose dissipative reset adaptive observer design for a class of singular systems. A functional observer method is employed to overcome the complexity of the singular system and to design a reset adaptive observer. Further, the dissipative approach is exploited to guarantee the convergence of output in the existence of disturbances. Also, a novel regional reset condition in integral term is devised to avoid Zeno solutions. As the results, stability and convergence analysis are presented in forms of linear matrix inequalities (LMIs), and then simulation results are shown to prove the effectiveness of our method. |
Databáze: | OpenAIRE |
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