The identification of nonlinear models for process control using tailored “plant-friendly” input sequences

@inproceedings{Parker2001TheIO,
  title={The identification of nonlinear models for process control using tailored “plant-friendly” input sequences},
  author={Robert S. Parker and Douglas Heemstra and Francis J. Doyle and Ronald K. Pearson and Babatunde A. Ogunnaike},
  year={2001}
}
Abstract This paper considers certain practical aspects of the identification of nonlinear empirical models for chemical process dynamics. The primary focus is the identification of second-order Volterra models using input sequences that offer the following three advantages: (1) they are “plant friendly;” (2) they simplify the required computations; (3) they can emphasize certain model parameters over others. To provide a quantitative basis for discussing the first of these advantages, this… CONTINUE READING

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