Dynamic Matrix Control Based on Wavelet Denoising

In order to eliminate measurement noises of system outputs in dynamic matrix control(DMC),the output measurements are decomposed by wavelet/scale multiresolution decomposition online.A threshold is chosen by means of Stein unbiased risk estimation(SURE)method in each scale,and high frequent wavelet coefficients are processed by soft thresholding.Then,current outputs of the system are reconstructed by adding the processed wavelet coefficents and the dimension transform coefficents.Theoretical analysis and simulation show that the method is effective to reduce steady state error and improve control accuracy in DMC.