Efficient computation of \(\ell _1\) uncertainty model from an impulse response set

DOI10.1016/J.AUTOMATICA.2008.02.006zbMath1155.93342OpenAlexW2029162417MaRDI QIDQ1004123

Antonio Vicino, Marco Casini, Andrea Garulli

Publication date: 2 March 2009

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2008.02.006

zbMATH Keywords

robust controlimpulse responselinear programs\(\ell _{1}\) uncertaintyuncertainty model

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Linear programming (90C05)

Related Items (1)

Chebyshev centres, Jung constants, and their applications

Uses Software

• CPLEX
• FGM/RGM
• CPLEXINT

Cites Work

• Unnamed Item
• On input design in \(\ell_{\infty}\) conditional set membership identification
• Worst-case control-relevant identification
• System identification with generalized orthonormal basis functions
• <tex>l^{1}</tex>-optimal feedback controllers for MIMO discrete-time systems
• System identification using Laguerre models
• System identification using Kautz models
• Conditional central algorithms for worst case set-membership identification and filtering
• Robust synthesis in /sub 1/: a globally optimal solution
• On worst-case approximation of feasible system sets via orthonormal basis functions
• Control-oriented model validation and errors quantification in the /spl lscr//sub 1/ setup
• A convex analytic approach to system identification

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