Artículo

Probabilistic ultimate bounds and invariant sets in nonlinear systems

Pizzi, Noelia BelénIcon ; Kofman, Ernesto JavierIcon ; Marelli, Damian EdgardoIcon ; De Doná, José A.; Serón, María Marta
Fecha de publicación: 11/2021
Editorial: Pergamon-Elsevier Science Ltd
Revista: Automatica
ISSN: 0005-1098
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:

Resumen

This article extends the notions of probabilistic ultimate bounds (PUB) and probabilistic invariant sets (PIS) to nonlinear continuous-time systems providing tools for their characterization and for the usage of these concepts in control design. Two design strategies are proposed that allow finding a nonlinear control law which ensures that the closed loop system is probabilistically ultimate bounded to a desired region. These strategies are based on Lyapunov and stochastic feedback linearization, respectively.
Palabras clave: STOCHASTIC DIFFERENTIAL EQUATIONS , ULTIMATE BOUNDS , INVARIANT SETS
 
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info:eu-repo/semantics/restrictedAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/185771
URL: https://www.sciencedirect.com/science/article/pii/S0005109821003733
DOI: https://doi.org/10.1016/j.automatica.2021.109853
Colecciones
Articulos(CIFASIS)
Articulos de CENTRO INT.FRANCO ARG.D/CS D/L/INF.Y SISTEM.
Citación
Pizzi, Noelia Belén; Kofman, Ernesto Javier; Marelli, Damian Edgardo; De Doná, José A.; Serón, María Marta; Probabilistic ultimate bounds and invariant sets in nonlinear systems; Pergamon-Elsevier Science Ltd; Automatica; 133; 11-2021; 1-9
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