INVESTIGADORES
PIZZI Noelia Belen
artículos
Título:
Probabilistic Ultimate Bounds and Invariant Sets in Nonlinear Systems
Autor/es:
PIZZI, NOELIA; KOFMAN, ERNESTO; MARELLI, DAMIÁN; DE DONÁ, JOSÉ A.; SERON, MARIA
Revista:
AUTOMATICA
Editorial:
PERGAMON-ELSEVIER SCIENCE LTD
Referencias:
Lugar: Amsterdam; Año: 2021
ISSN:
0005-1098
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.
