Robust Control Invariance of Probabilistic Boolean Control Networks via Event-Triggered Control
| Autor: | Fuad E. Alsaadi, Yuanyuan Li, Yang Liu, Jianquan Lu, Liyun Tong, Zhen Wang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
General Computer Science Stochastic process Computer science semi-tensor product General Engineering Probabilistic logic 02 engineering and technology Invariant (physics) event-triggered control Probabilistic Boolean control network invariant set 020901 industrial engineering & automation 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing General Materials Science lcsh:Electrical engineering. Electronics. Nuclear engineering Invariant (mathematics) Robust control Algorithm lcsh:TK1-9971 Event triggered |
| Zdroj: | IEEE Access, Vol 6, Pp 37767-37774 (2018) |
| ISSN: | 2169-3536 |
| Popis: | This paper investigates the robust control invariance of probabilistic Boolean control networks via the technique of semi-tensor product. Some essential conditions are obtained to check whether the set is a robust event-triggered control invariant set (RETCIS) through the given event-triggered-controller (ETC). Moreover, an algorithm is designed for ETC to ensure that the given set is RETCIS. At last, a model of the apoptosis network shows the effectiveness of the main results. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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