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A numerical projection-based approach to nonlinear model reduction and identification

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3 Author(s)
J. H. Lee ; Sch. of Chem. Eng., Purdue Univ., West Lafayette, IN, USA ; Yangdong Pan ; Suwhan Sung

We propose a general method for nonlinear chemical/biochemical model reduction and identification, inspired by the concept of subspace identification. We propose to use artificial neural networks to find a nonlinear projection operator that serves to define the reduced state out of the full state or out of an input-output time series. We investigate the viability of the method for both deterministic and stochastic systems

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American Control Conference, 1999. Proceedings of the 1999  (Volume:3 )

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