一种能有效克服不可测干扰的自适应推理控制策略
ADAPTIVE INFERENTIAL CONTROL ALGORITHM FOR DEALING WITH UNMEASURABLE DISTURBANCE
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摘要: 本文提出了一种新的自适应推理策略，它与其他推理控制的区别是：（1）基于最小方差原理设计推理控制器，而不是基于模型的逆；（2）将自适应预报技术同推理控制器的设计柔合在一起；（3）引入干扰预报措施，可以更有效地消除不可测干扰的影响．Abstract: This paper proposes a new adaptive inferential control algorithm, it differs from other algorithms in the following: (1) The controller is based on the minimum variance principle, not the inverse of process model. (2) It combines the controller design with predictive approach. (3) It adds disturbance predictor.
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