Abstract
Nonlinear dynamic predictive models are essential for opti-mal operation and control of many processes. This work pre-sents the predictive modeling of a simulated high purity distil-lation column using a continuous-time block-orientedmodeling methodology developed by Rollins et al. (1998). Theproposedmethodologyisbasedonaclosed-formexactsolutionto Hammerstein structure and, hence, referred to as the Ham-mersteinBlock-orientedExactSolutionTechniqueor H-BEST.The Hammerstein structure consists of a nonlinear static gainfunction that feeds a linear dynamic function. Thus, inputvector
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
