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A new model reference adaptive control for linear time‐varying systems
Authors:Min‐Shin Chen  Jia‐Ming Wu
Abstract:Recent results on the adaptive control of linear time‐varying systems have considered mostly the case in which the range or rate of parameter variations is small. In this paper, a new state feed‐back model reference adaptive control is developed for systems with bounded arbitrary parameter variations. The important feature of the proposed adaptive control is an uncertainty estimation algorithm, which guarantees almost zero tracking error. Note that the conventional parameter estimation algorithm in the adaptive control guarantees only bounded tracking error. Copyright © 2000 John Wiley & Sons, Ltd.
Keywords:linear time‐varying system  model reference adaptive control  tracking control  uncertainty estimation
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