小波变换和主元分析在动态矩阵控制算法中的应用
THE APPLICATION OF WAVELET TRANSFORMATION AND PRINCIPAL COMPONENTS ANALYSIS IN DYNAMIC MATRIX CONTROL ALGORITHMS
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摘要: 提出用小波变换和主元分析相结合的方法来压缩预测时域及控制时域,在保证算法鲁棒控制性能的前提下降低动态矩阵维数并改善矩阵病态性,从而使动态矩阵控制算法的计算效率大大提高.Abstract: A new algorithm is proposed incorporating wavelet transformation with principal components analysis techniques in surppressing prediction horizons and control horizons of DMC controllers, which results in lower matrix dimensions and better matrix conditions. The computational efficiency of this algorithm is improved without much loss of controller performance and robustness.