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Model reduction by balanced truncation of dominant Lure systems⁎The research leading to these results has received funding from the European Research Council under the Advanced ERC Grant Agreement Switchlet n. 670645 and from the Royal Society Research Grant RGS\R1\191308. Issue 2 (2020)
Record Type:
Journal Article
Title:
Model reduction by balanced truncation of dominant Lure systems⁎The research leading to these results has received funding from the European Research Council under the Advanced ERC Grant Agreement Switchlet n. 670645 and from the Royal Society Research Grant RGS\R1\191308. Issue 2 (2020)
Main Title:
Model reduction by balanced truncation of dominant Lure systems⁎The research leading to these results has received funding from the European Research Council under the Advanced ERC Grant Agreement Switchlet n. 670645 and from the Royal Society Research Grant RGS\R1\191308.
Abstract: The paper presents a model reduction framework geared towards the analysis and design of systems that switch and oscillate. While such phenomena are ubiquitous in nature and engineering, model reduction methods are not well developed for non-equilibrium behaviors. The proposed framework addresses this need by exploiting recent advances on dominance theory. Classical balanced truncation for linear time-invariant systems is used to develop a dominance-preserving model reduction method for Lure systems, i.e. systems that can be decomposed as the feedback interconnection of a linear system and a static nonlinearity. The method is illustrated by approximating the oscillatory behavior of a discretized heat flow control system.