Abstract

This article presents a modified least-square (MLS) method for model order reduction (MOR) of the higher order continuous-time systems by matching the time moments and Markov parameters. The MLS method is based on the selection of number of time moments and Markov parameters which are to be matched that could preserve the characteristics of high order model (HOM) into the reduced-order model (ROM). The key contribution of this article is the formulation of modified matrix expression to obtain the coefficients of numerator and denominator of ROM. It is shown that a combination of time moments and Markov parameters is required to be matched in order to preserve the transient and steady-state responses. The effectiveness of the proposed approach is shown by numerical examples.

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 call

Disclaimer: 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.