Robust control of nonlinear systems with parametric uncertainty

Qian Wang, Robert F. Stengel

    Research output: Contribution to journalArticle

    79 Citations (Scopus)

    Abstract

    Probabilistic robustness analysis and synthesis for nonlinear systems with uncertain parameters are presented. Monte Carlo simulation is used to estimate the likelihood of system instability and violation of performance requirements subject to variations of the probabilistic system parameters. Stochastic robust control synthesis searches the controller design parameter space to minimize a cost that is a function of the probabilities that design criteria will not be satisfied. The robust control design approach is illustrated by a simple nonlinear example. A modified feedback linearization control is chosen as controller structure, and the design parameters are searched by a genetic algorithm to achieve the tradeoff between stability and performance robustness.

    Original languageEnglish (US)
    Pages (from-to)1591-1599
    Number of pages9
    JournalAutomatica
    Volume38
    Issue number9
    DOIs
    StatePublished - Sep 1 2002

    Fingerprint

    Robust control
    Nonlinear systems
    Controllers
    Feedback linearization
    Robustness (control systems)
    Genetic algorithms
    Uncertainty
    Costs

    All Science Journal Classification (ASJC) codes

    • Control and Systems Engineering
    • Electrical and Electronic Engineering

    Cite this

    Wang, Qian ; Stengel, Robert F. / Robust control of nonlinear systems with parametric uncertainty. In: Automatica. 2002 ; Vol. 38, No. 9. pp. 1591-1599.
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    Robust control of nonlinear systems with parametric uncertainty. / Wang, Qian; Stengel, Robert F.

    In: Automatica, Vol. 38, No. 9, 01.09.2002, p. 1591-1599.

    Research output: Contribution to journalArticle

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