A necessary and sufficient minimality condition for uncertain systems
From MaRDI portal
Publication:4506920
DOI10.1109/9.793720zbMath0956.93012OpenAlexW2139251624MaRDI QIDQ4506920
Carolyn L. Beck, John C. Doyle
Publication date: 17 October 2000
Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)
Full work available at URL: https://authors.library.caltech.edu/1867/
uncertain systemslinear matrix inequalitiesminimal realizationslinear fractional transformationsGramiansKalman decompositionexact reduction
Control/observation systems with incomplete information (93C41) Minimal systems representations (93B20) System structure simplification (93B11) Realizations from input-output data (93B15)
Related Items
A subspace approach to balanced truncation for model reduction of nonlinear control systems, Bounded real lemma for structured noncommutative multidimensional linear systems and robust control, Equivalent realizations for uncertain systems with an IQC uncertainty description, A novel elementary operation approach with Jordan transformation to order reduction for Roesser state-space model, Equivalence of robust stabilization and robust performance via feedback, Structured fault detection filters for LPV systems modeled in an LFR manner, On the intersection of null spaces for matrix substitutions in a non-commutative rational formal power series, H ∞ ∕ H − LPV solutions for fault detection of aircraft actuator faults: Bridging the gap between theory and practice, Common eigenvector approach to exact order reduction for Roesser state-space models of multidimensional systems, A notion of possible controllability for uncertain linear systems with structured uncertainty, Structure-preserving model reduction for spatially interconnected systems with experimental validation on an actuated beam, Eigenvalue trim approach to exact order reduction for Roesser state-space model of multidimensional systems, Common eigenvector approach to exact order reduction for multidimensional Fornasini–Marchesini state-space models
Uses Software
