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Improving control design for nonlinear parametric uncertainty
International Journal of Control
Models developed from first principles often contain coefficients that are nonlinear functions of design parameters, which themselves are generally only known within some tolerance. Analysis and design of controllers for such models (plants) is often expedited through the use of an overbounding interval plant representation of the original plant. However, such representations are known to introduce conservativeness. As an alternative, we provide an algorithm for synthesizing adoi:10.1080/002071797224432 fatcat:icw6shndnvftteh5tgnsrz57b4