Piecewise affine modeling using radial basis functions network

In this study, piecewise affine modeling using a radial basis function network (RBFN) is proposed. An evaluation method for model reliability is also proposed. RBFs can be added to improve the expression capability of nonlinearity and parameters and reliability indices can be updated recursively. This model can be available as a black box model for hybrid systems.