In this paper, a data-driven approach is proposed to tune fixed-order controllers for unknown stable LTI plants in a mixed-sensitivity loop-shaping framework. The method requires a single set of input-output samples and it is based on convex optimization techniques; moreover, it asymptotically guarantees the internal stability of the closed-loop system. The effectiveness of the method is illustrated with application to the control of an active suspension system.
A data-driven approach to mixed-sensitivity control with application to an active suspension system
FORMENTIN, Simone;
2013-01-01
Abstract
In this paper, a data-driven approach is proposed to tune fixed-order controllers for unknown stable LTI plants in a mixed-sensitivity loop-shaping framework. The method requires a single set of input-output samples and it is based on convex optimization techniques; moreover, it asymptotically guarantees the internal stability of the closed-loop system. The effectiveness of the method is illustrated with application to the control of an active suspension system.File allegato/i alla scheda:
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