Learning for the Adaptive Control of Large Flexible Structures

نویسندگان

  • Zhiqiang Gao
  • Mark Peek
چکیده

An important problem in the adaptive control of large flexible structures is to appropriately select the adaptive controller parameters so that good performance is obtained. There is a lack of systematic methods in selecting these parameters mainly because of the mathematical complexity in studying the transient response of nonlinear systems. In this paper a method. based on machine learning, to solve this problem is introduced and discussed. These results are then used to propose an intelligent adaptive control system where the parameters in the adaptive controller are to be tuned on-line without human supervision.

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تاریخ انتشار 2009