Comments on ‘Less conservative conditions for robust LQR-state-derivative controller design: an LMI approach’ and new sufficient LMI conditions for invertibility of a convex combination of matrices
DOI10.1080/00207721.2021.2023689zbMath1493.93015OpenAlexW4206222003MaRDI QIDQ5091868
Tomasz Szulc, M. A. L. Beteto, Marcelo Carvalho Minhoto Teixeira, Roberto Kawakami Harrop Galvão, Edvaldo Assunção
Publication date: 27 July 2022
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207721.2021.2023689
robust controllinear matrix inequalities (LMIs)linear quadratic regulator (LQR)state derivative feedback (SDF)full rank conditions of convex combinations of matrices
Sensitivity (robustness) (93B35) Feedback control (93B52) Linear-quadratic optimal control problems (49N10) Control/observation systems governed by ordinary differential equations (93C15)
Cites Work
- Robust static output feedback control synthesis for linear continuous systems with polytopic uncertainties
- Pseudo-state feedback stabilization of commensurate fractional order systems
- Convex combinations of matrices -- full rank characterization
- Stability of Fractional-Order Systems with Rational Orders
- Block P-matrices
- Convex combinations of matrices-nonsingularity and schur stability characterizations
- Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones
- Convex sets of nonsingular and P:–Matrices
- Less conservative conditions for robust LQR-state-derivative controller design: an LMI approach
This page was built for publication: Comments on ‘Less conservative conditions for robust LQR-state-derivative controller design: an LMI approach’ and new sufficient LMI conditions for invertibility of a convex combination of matrices
