This entry presents the most commonly used formulations of robust stability and robust H 1 performance for linear systems with highly structured, linear, time-invariant uncertainty. The structured singular value function () is specifically defined for this purpose, involving a problem-specific set, called the uncertainty set. With the uncertainty set chosen, is a real-valued function defined on complex matrices of a fixed dimension. A few key properties are easily derived from the definition and then applied to solve the robustness analysis problem. Computation of , which is required to implement the analysis tests, is difficult, so computable and refinable upper and lower bounds are derived.
CITATION STYLE
Packard, A., Seiler, P., & Balas, G. (2014). Structured Singular Value and Applications: Analyzing the Effect of Linear Time-Invariant Uncertainty in Linear Systems. In Encyclopedia of Systems and Control (pp. 1–8). Springer London. https://doi.org/10.1007/978-1-4471-5102-9_163-1
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