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An auto-tuning method for dominant-pole placement using implicit model reference adaptive control technique
Authors:Qiwen Yang  Yuncan Xue  Simon X. Yang  Wailing Yang
Affiliation:1. College of Computer and Information, Hohai University, Changzhou 213022, China;2. School of Engineering, University of Guelph, Canada
Abstract:In order to implement dominant-pole placement by means of auto-tuning scheme, an implicit model reference adaptive system (IMRAS) is presented in this paper. Some issues regarding auto-tuning for dominant-pole placement based on the proposed IMRAS are discussed. The proposed auto-tuning scheme is illustrated on four types of linear models. Simulation results show that dominant poles can be placed near the desired ones which are assigned in the dominant-pole-based reference model.
Keywords:
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