Distributional Robustness Analysis for Nonlinear Uncertainty Structures

    Research output: Contribution to journalArticlepeer-review


    One of the main objectives of this note is to address the question: what is the worst-case expected value of a continuous function (worst-case performance) over a class of admissible distributions? In this note, the class of symmetric and non-increasing distributions is considered and results are provided for the class of so-called semi-algebraic functions. The first part of the note shows that, for the class of distributions considered, it suffices to solve a convex optimization problem for which efficient linear matrix inequality (LMI) relaxations are available. Secondly, the proposed approach is applied to estimate hard bounds on the worst-case probability of a semi-algebraic function being negative. Several numerical examples are presented which illustrate the effectiveness of the approach presented.

    Original languageEnglish (US)
    Article number7268760
    Pages (from-to)1900-1905
    Number of pages6
    JournalIEEE Transactions on Automatic Control
    Issue number7
    StatePublished - Jul 1 2016

    All Science Journal Classification (ASJC) codes

    • Control and Systems Engineering
    • Computer Science Applications
    • Electrical and Electronic Engineering

    Fingerprint Dive into the research topics of 'Distributional Robustness Analysis for Nonlinear Uncertainty Structures'. Together they form a unique fingerprint.

    Cite this