Abstract
In this paper, a step response identification method is proposed to obtain a low-order model for industrial processes with time delay. Based on a classification of the model pole distribution, the corresponding time domain expressions of the output response to a step change are derived and therefore, a gradient searching algorithm is developed to simultaneously identify the rational model parameters together with the delay parameter. The computation effort can be significantly reduced compared to the existing time domain multiple-integral methods for model fitting. The convergence of the proposed algorithm is analyzed with a strict proof. Two illustrative examples from the literature are shown to demonstrate the effectiveness of the proposed method.
Sign-in/Register to access full text options 
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.
