Abstract
This entry presents the most commonly used formulations of robust stability and robust \(\mathcal{H}_{\infty }\) performance for linear systems with highly structured, linear, time-invariant uncertainty. The structured singular value function (μ) is specifically defined for this purpose, involving a problem-specific set, called the uncertainty set. With the uncertainty set chosen, μ 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 μ, which is required to implement the analysis tests, is difficult, so computable and refinable upper and lower bounds are derived.
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Packard, A., Seiler, P., Balas, G. (2014). Structured Singular Value and Applications: Analyzing the Effect of Linear Time-Invariant Uncertainty in Linear Systems. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_163-1
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DOI: https://doi.org/10.1007/978-1-4471-5102-9_163-1
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