Abstract
In this paper, first we propose the definition of two linear system equivalence in self-tuning significance. Then we give an implicit extended pole-assignment self-tuning controller (IEPSC) which combines extended self-tuning controller with optimal tracking property. The IEPSC algorithm holds extended self-tuning property, has good tracking and convergence oroperties, and needs less computation than explicit pole-assignment self-tuning controller as well. Computer simulation proves these properties. And we nob only, under some usual conditions, prove the self-tuning property of IEPSC algorithm, but also discuss how to choose the surrogate noise to ensure the convergence of the correspondent cunt roller parameters. Furthermore this IEPSC algorithm is of novelty and validity.
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