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Event-triggered state estimator design for unknown input and noise-correlated random system
In this study, an event-driven state estimator is designed for stochastic systems that contain unknown inputs and processes as well as correlated measurement noise. First, the event-triggered state estimator's gain is deduced by using the random stability theory and Lyapunov's function. Th...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7232098/ https://www.ncbi.nlm.nih.gov/pubmed/32435709 http://dx.doi.org/10.1016/j.heliyon.2020.e03832 |