An adaptive control for globally stabilizing linear systems with unknown high-frequency gains
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This paper presents an algorithm for adaptively controlling a single-input, single-output process admitting an n-dimensional, minimum phase linear model of relative degree 1 or 2, with unknown parameters. Apriori knowledge of the sign of the model's high frequency gain is not required, and a sufficiently rich probing signal is not needed for stabilization.
KeywordsAdaptive Control Adaptive Controller Present Controller Proper System Weighting Pattern
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