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20162022
most citedReduction of Second-Order Network Systems with Structure Preservation

50 citations · 55 across the 7 of their papers we have counts for

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8 papers · 1 filter

eess.SY2022★ 1 cited

Krasovskii and Shifted Passivity Based Output Consensus

Yu Kawano, Michele Cucuzzella, Shuai Feng +1

Motivated by current sharing in power networks, we consider a class of output consensus (also called agreement) problems for nonlinear systems, where the consensus value is determi…

eess.SY2022★ 1 cited

-monotonicity and feedback synthesis for incrementally stable networks

Yu Kawano, Fulvio Forni

We discuss the role of monotonicity in enabling numerically tractable modular control design for networked nonlinear systems. We first show that the variational systems of monotone…

eess.SY2021

Controller Reduction for Nonlinear Systems by Generalized Differential Balancing

Yu Kawano

In this paper, we aim at developing computationally tractable methods for nonlinear model/controller reduction. Recently, model reduction by generalized differential (GD) balancing…

eess.SY2019

Krasovskii and Shifted Passivity Based Control

Yu Kawano, Krishna Chaitanya Kosaraju, Jacquelien M. A. Scherpen

In this paper, our objective is to develop novel passivity based control techniques by introducing a new passivity concept named Krasovskii passivity. As a preliminary step, we inv…

eess.SY2019

Robust Passivity-Based Control of Boost Converters in DC Microgrids

Michele Cucuzzella, Riccardo Lazzari, Yu Kawano +2

This work deals with the design of a robust and decentralized passivity-based control scheme for regulating the voltage of a DC microgrid through boost converters. A Krasovskii-typ…

eess.SY2019★ 1 cited

Krasovskii's Passivity

Krishna Chaitanya Kosaraju, Yu Kawano, Jacquelien M. A. Scherpen

In this paper we introduce a new notion of passivity which we call Krasovskii's passivity and provide a sufficient condition for a system to be Krasovskii's passive. Based on this…

eess.SY2019

Empirical Differential Gramians for Nonlinear Model Reduction

Yu Kawano, Jacquelien M. A. Scherpen

In this paper, we present an empirical balanced truncation method for nonlinear systems with linear time-invariant input vector field components. First, we define differential reac…

eess.SY2017★ 50 cited

Reduction of Second-Order Network Systems with Structure Preservation

Xiaodong Cheng, Yu Kawano, Jacquelien M. A. Scherpen

This paper proposes a general framework for structure-preserving model reduction of a secondorder network system based on graph clustering. In this approach, vertex dynamics are ca…