Model reference adaptive control for nonminimum phase systems |
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Authors: | Daniel E. Miller |
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Abstract: | In this paper we define a new model reference adaptive control problem which allows a large amount of plant uncertainty. Instead of the usual goal of asymptotic error regulation, here we require that the limit superior of the magnitude of the error be less than a predefined constant times the limit superior of the magnitude of the external reference input. This provides a natural way to incorporate uncertainty which includes nonminimum phase systems. |
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Keywords: | Author Keywords: Model reference adaptive control Switching control Nonminimum phase system l1, performance |
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