Performance analysis for uncertain multivariable systems obtained by system identification

DOI10.1080/00207721.2012.724105zbMath1307.93117OpenAlexW1983292400MaRDI QIDQ5172584

Arash Sadeghzadeh

Publication date: 4 February 2015

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2012.724105

zbMATH Keywords

system identificationperformance analysisellipsoidal parametric uncertainty

Mathematics Subject Classification ID

System identification (93B30) Control/observation systems with incomplete information (93C41) Multivariable systems, multidimensional control systems (93C35) Linear systems in control theory (93C05)

Cites Work

• Identification for robust \(H_{2}\) deconvolution filtering
• A new robust D-stability condition for real convex polytopic uncertainty
• Identification and control: joint input design and \(\mathcal H_\infty\) state feedback with ellipsoidal parametric uncertainty via LMIs
• LMI conditions for robust stability analysis based on polynomially parameter-dependent Lyapunov functions
• Identification for control of multivariable systems: controller validation and experiment design via LMIs
• Fixed-orderH_∞controller design for systems with ellipsoidal parametric uncertainty
• Fixed-order robust H∞ control and control-oriented uncertainty set shaping for systems with ellipsoidal parametric uncertainty
• Linear Matrix Inequalities in System and Control Theory
• Robust performance analysis with LMI-based methods for real parametric uncertainty via parameter-dependent Lyapunov functions
• ₂guaranteed cost computation by means of parameter dependent Lyapunov functions
• Robust performance analysis for systems with structured uncertainty
• Affine parameter-dependent Lyapunov functions and real parametric uncertainty
• Input design via LMIs admitting frequency-wise model specifications in confidence regions
• Robust stability analysis of linear systems with parametric uncertainty
• Robustness analysis tools for an uncertainty set obtained by prediction error identification

This page was built for publication: Performance analysis for uncertain multivariable systems obtained by system identification