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本文基于混沌动力系统相空间的延迟坐标重构,根据混沌序列产生的确定性和非线性机制及混沌序列高阶奇异谱特征, 提出了混沌时间序列的二阶Volterra和高阶非线性HONFIR两种模型,引入Sigmoid函数后又提出了一种少参数非线性自适应滤波预测模型,并对它们的自适应算法作了介绍。
In this paper, based on the delayed coordinate reconstruction of phase space in chaotic dynamical system, two chaotic time series Volterra and HONFIR are proposed according to the deterministic and nonlinear mechanism of chaos generation and the singular spectrum features of chaotic sequences. Model, the Sigmoid function is introduced and then a few parameter nonlinear adaptive filtering prediction models are proposed. Their adaptive algorithms are also introduced.