Stability robustness bounds for linear state-space models with structured uncertainty based on ellipsoidal set-theoretic approach.

DOI10.1016/S0378-4754(00)00200-7zbMath1066.93043OpenAlexW2075228702WikidataQ127753593 ScholiaQ127753593MaRDI QIDQ5943285

Peter C. Müller, Zhi-Ping Qiu, Andreas Frommer

Publication date: 2001

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0378-4754(00)00200-7

zbMATH Keywords

stabilityrobustnessellipsoidal estimateLinear system

Mathematics Subject Classification ID

Robust stability (93D09)

Related Items (4)

Probabilistic interval reliability of structural systems ⋮ Quantized peak-to-peak filtering for continuous-time nonhomogeneous Markov jump systems with structured uncertainty ⋮ Convex models and probabilistic approach of nonlinear fatigue failure ⋮ Robust peak-to-peak filtering for Markov jump systems

Cites Work

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• Parameter estimation algorithms for a set-membership description of uncertainty
• Design of robust linear state feedback laws: Ellipsoidal set-theoretic approach
• Improved measures of stability robustness for linear state space models
• A necessary and sufficient condition for the stability of interval matrices
• A lagrange approach to set-theoretic control synthesis
• Stability robustness bounds for linear state-space models with structured uncertainty
• On sufficient conditions for the stability of interval matrices

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