Observer design for multivariable transport-reaction systems based on spatially distributed measurements

Descripción del Articulo

This paper is concerned with the design of observers for a class of one-dimensional multi-state transport-reaction systems considering distributed in-domain measurements over the spatial domain. A design based on the Lyapunov method is proposed for the stabilization of the estimation error dynamics....

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Detalles Bibliográficos
Autores: Yupanqui Tello, Ivan Francisco, Vande Wouwer, Alain, Coutinho, Daniel
Formato: artículo
Fecha de Publicación:2022
Institución:Universidad Tecnológica del Perú
Repositorio:UTP-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.utp.edu.pe:20.500.12867/5926
Enlace del recurso:https://hdl.handle.net/20.500.12867/5926
https://doi.org/10.1016/j.sysconle.2022.105323
Nivel de acceso:acceso abierto
Materia:Distributed parameter systems
Mathematical optimization
Dynamical system
https://purl.org/pe-repo/ocde/ford#2.02.03
Descripción
Sumario:This paper is concerned with the design of observers for a class of one-dimensional multi-state transport-reaction systems considering distributed in-domain measurements over the spatial domain. A design based on the Lyapunov method is proposed for the stabilization of the estimation error dynamics. The approach uses positive definite matrices to parameterize a class of Lyapunov functionals that are positive in the Lebesgue space of integrable square functions. Thus, the stability conditions can be expressed as a set of LMI constraints which can be solved numerically using sum of squares (SOS) and standard semi-definite programming (SDP) tools. In order to evaluate the proposed methodology, a state observer is designed to estimate the variables of a nonisothermal tubular reactor model. Numerical simulations are presented to demonstrate the potentials of the proposed observer.
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