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Event-Triggered H∞ State Estimation for Coupled and Switched Genetic Regulatory Networks.
- Source :
- Circuits, Systems & Signal Processing; Oct2019, Vol. 38 Issue 10, p4420-4445, 26p
- Publication Year :
- 2019
-
Abstract
- This paper investigates the problem of event-triggered H ∞ state estimation for switched genetic regulatory networks with static coupling via a sojourn-probability-dependent approach. The measurements of the network are evaluated by the event-triggers which are only undertaken at the switching times. By employing a time-delay approach, the estimation can be achieved by determining the exponential mean-square stability of the switched system with time-varying delay and known sojourn probability, while the system prescribes an H ∞ performance level. A co-design approach for the event-triggered mechanism and the estimators is presented by means of a novel Lyapunov–Krasovskii functional combining with refined Jensen-based inequalities. Finally, a numerical example is given to demonstrate the effectiveness of the designed estimators. [ABSTRACT FROM AUTHOR]
- Subjects :
- EXPONENTIAL stability
TIME-varying systems
AXIOMATIC design
PROBABILITY theory
Subjects
Details
- Language :
- English
- ISSN :
- 0278081X
- Volume :
- 38
- Issue :
- 10
- Database :
- Complementary Index
- Journal :
- Circuits, Systems & Signal Processing
- Publication Type :
- Academic Journal
- Accession number :
- 138506719
- Full Text :
- https://doi.org/10.1007/s00034-019-01073-6