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Superheater steam temperature in power plant is the strong nonlinearity system. Sparse Least squares support vector networks (LSSVN) are proposed to model the superheated steam of power plant in this paper. The structure is obtained by equality constrained minimization. By combining the DMC with discount recursive partial least squares (DRPLS), a adaptive DMC control method based on discount recursive...
Aiming at the strong nonlinearity and large time-varying characteristics in controlling of super-heater temperature in plant, the method of LS-SVMs based on radial basis function are used to model. Under the condition of modeling approximating to performance, the sparse modeling is gotten by the pruning algorithm. The merits of the algorithm are conforming to the least structural risk in training...
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