Structural classification of multi-input nonlinear systems

  title={Structural classification of multi-input nonlinear systems},
  author={Hong Chen and Lowell D. Jacobson and James P. Gaska},
  journal={Biological Cybernetics},
We present new structural classification and parameter estimation results that are applicable to multi-input nonlinear systems. The mathematical relationships between the self- and cross-(Volterra and Wiener) kernels are derived for a basic two-input nonlinear structure (Fig. 1a). These results are then used to develop classification methods for more complicated two-input structures. Algorithms for estimating the parameters (linear and nonlinear subsystems) of these structures are also… CONTINUE READING

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