Journal:in Proceedings of 15th IEEE International Conference on Control, Automation, Robotics and Vision, Singapore Nov. 2018.
Abstract:In this paper, the moment-matching model reduction problem for negative imaginary systems is considered in the time-domain framework. For a given high-order negative imaginary system with poles at the origin, our goal is to find a reduced-order negative imaginary system such that a prescribed number of the moments and the poles at the origin are preserved. The reduced-order negative imaginary systems were constructed by the parameterized reduced-order systems that match the moments. It shows that a desired reduced-order system can be obtained by using the unique solution of a Sylvester equation. Finally, the proposed model reduction method is illustrated by an RLC network and a train system.
First Author:余兰林
Indexed by:Essay collection
Correspondence Author:熊军林
Translation or Not:no
Date of Publication:2018-11-19
Included Journals:EI