Now showing items 1-6 of 6
A Measure of Worst-Case HPerformance and of Largest Acceptable Uncertainty
The structured singular value (SSV or ) is know to be an effective tool for assessing robust performance of linear time- invariant models subject to structured uncertainty. Yet all a single analysis provides is a bound ݠon ...
Linear Fractional Transformations for the Approximation of Various Uncertainty Sets
Recently, it was shown that the structured singular value framework can be extended to the case when information on the phase of the uncertainty is available, and a computable upper bound on the corresponding "phase sensitive ...
Worst-Case HPerformance Under Structured Perturbations with Known Bounds
The structured singular value (SSV or ) is known to be an effective tool for assessing robust performance of linear time- invariant models subject to structured uncertainty. Yet all a single analysis provides is a bound ...
On the Computation of the Real Stability Radius
Recently, Qiu et al. obtained a computationally attractive formula for the computation of the real stability radius. This formula involves a global maximization over frequency. Here we show that the frequency range can be ...
When is the Multiaffine Image of a Cube a Polygon?
We give two simple sufficient conditions under which the multiaffine image on the complex plane of an m-dimensional cube is a convex polygon. A third condition which, in some generic sense, is necessary and sufficient is ...
On Phase Information in Multivariable Systems
The "median phase" and "phase spread" of a matrix are defined and properties are derived. The question of robust stability under uncertainty with phase information is addressed and a corresponding necessary and sufficient ...