Karina Barbosa

Co-authors

Following

Followers

Research Focus & Metrics

Explore full metrics on Scilit

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications

13 November 2006 in IEEE Transactions on Automatic Control

Journal Article

Mode-Independent ${\cal H}_{\infty}$ Filters for Markovian Jump Linear Systems

Carlos E. de Souza

Alexandre Trofino

Karina Barbosa

This note addresses the problem of H_infin filtering for continuous-time linear systems with Markovian jumping parameters. The main contribution of the note is to provide a method for designing an asymptotically stable linear time-invariant H_infin filter for systems where the jumping parameter is not accessible. The cases where the transition rate matrix of the Markov process is either exactly known, or unknown but belongs to a given polytope, are treated. The robust H_infin filtering problem for systems with polytopic uncertain matrices is also considered and a filter design method based on a Lyapunov function that depends on the uncertain parameters is developed. The proposed filter designs are given in terms of linear matrix inequalities

5 June 2006 in IEEE Transactions on Signal Processing

Journal Article

Robust /spl Hscr//sub /spl infin// filtering for discrete-time linear systems with uncertain time-varying parameters

C.E. de Souza

Karina Barbosa

A.T. Neto

This paper deals with the problem of robust /spl Hscr//sub /spl infin// filtering for linear discrete-time state-space models with uncertain time-varying parameters. The parameters enter affinely into the state-space model matrices, and their admissible values and variations are assumed to belong to given intervals. A method is derived for designing a linear stationary asymptotically stable filter with a prescribed /spl Hscr//sub /spl infin// performance, in spite of large parameter uncertainty. The proposed method incorporates information on available bounds on both the admissible values and variation of the uncertain parameters and is based on a Lyapunov function with quadratic dependence on the parameters. The filter design is given in terms of linear matrix inequalities.

1 March 2005 in Systems & Control Letters

Journal Article

Robust filtering for uncertain linear systems: LMI based methods with parametric Lyapunov functions

Karina Barbosa

Carlos E. de Souza

Alexandre Trofino

1 March 2008 in Automatica

Journal Article

Robust filtering for uncertain linear discrete-time descriptor systems

Carlos E. de Souza

Karina Barbosa

Minyue Fu

8 December 2008 in IET Control Theory & Applications

Journal Article

New improved delay-dependent ℋ _∞ filter design for uncertain neutral systems

Fernando Souza

Reinaldo Palhares

Karina Barbosa

The problem of a robust delay-dependent filter design for linear continuous-time neutral systems subject to uncertain mixed delays and time-invariant parameters is discussed. The uncertain parameters appear affinely in all system matrices and are assumed to belong to a given polytope. A general linear filter is proposed to guarantee that the induced ℒ₂-norm of the filtering error system is less than a prescribed level for all allowed uncertainties. The proposed result is based on the selection of an alternative discretised parameter-dependent Lyapunov–Krasovskii functional and the introduction of slack variables which allows one to decouple the system matrices from the Lyapunov functional matrices. Numerical examples are performed to support the advantage of the proposed method.

18 June 2007 in IEEE Transactions on Automatic Control

Journal Article

Robust Filtering for Linear Systems With Convex-Bounded Uncertain Time-Varying Parameters

Carlos E. de Souza

Karina Barbosa

Alexandre Trofino

This note addresses the design of robust H₂ filters for linear systems with a state-space model subject to time-varying uncertain parameters with limited variation. The uncertain parameters and their rate of variation are assumed to belong to a given convex-bounded polyhedral domain. A method based on a parameter-dependent Lyapunov function is proposed for designing a linear stationary asymptotically stable filter with a guaranteed average error variance, irrespective of the uncertain parameters. The proposed design is formulated in terms of linear matrix inequalities.

About Me

Karina A. Barbosa received a B.S. Degree in Applied Mathematical from the Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil, in 1997, and her Master's and Doctorate degrees in Electrical Engineering from the Universidade Federal de Santa Catarina, Florianópolis, Brazil, in 1999 and 2003, respectively. From 2005 to 2007, she held a post-doctoral position at Laboratório Nacional de Computação Científica (LNCC/MCT), Petrópolis, Brazil. She was also an Academic Visitor at the Centre for Complex Dynamic Systems and Control (CDSC), at The University of Newcastle, Australia from August 2007 to June 2008. In 2009, she was a Postdoctoral Fellow at the Department of Electrical Engineering of Pontificia Universidad Católica de Chile, Santiago, Chile. Currently, she is Vice Dean for Academics Affairs, at the Faculty of Engineering, at Universidad de Santiago de Chile. She is an IEEE Senior Member, and since 2011 has been part of the Chilean Automatic Control Society (ACCA) Board of Directors. Her research interests include robust filtering, robust control, and descriptor systems.

Karina Barbosa

Karina Barbosa

Research Focus & Metrics

Academic Career Length

Publication Type Breakdown

Representative Publications

About Me