Nonlinear Mimo Adaptive Predictive Control Based on Wavelet Network Model
نویسندگان
چکیده
A MIMO nonlinear adaptive predictive control strategy is presented in which the wavelet neural network based on a set of orthogonal wavelet functions is adopted. A nonlinear mapping from the network-input space to the wavelons output space in the hidden layer is performed firstly. Then, the output layer uses a linear structure. Its weight coefficients can be estimated by a linear least-squares estimation method. The excellent statistic properties of the weight parameter estimation can be obtained. Based on developed recursive algorithm, a MIMO nonlinear adaptive predictive control strategy is implemented. A simulated MIMO nonlinear process example shows that the control scheme is effective. Copyright © 2002 IFAC
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