对于随机突变参量的数据可靠性处理，本文提出了一种新的基于自适应预报的数据处理器算法。
In regard to stochastic and suddenly varying data, a new kind of data processor algorithm based on adaptive prediction is presented.
本文讨论了船舶在不规则海浪中运动的AR模型描述方法和AR模型阶的选择，并用自适应预报的方法提出了超前k步的自适应预报器。
In this paper the description of the ship motion with ar model, the selection of the order of the ar model and the construction of the K steps advanced adaptive predictor are discussed.
本文提出了一种基于强跟踪滤波器的自适应故障预报方法，能够对一类带时变参数的非线性系统进行故障预报。
This paper presents an adaptive fault prediction method based on strong tracking filter, which can predict faults in a class of nonlinear time varying systems.
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