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Feng-Yu Yue

Publications and source records attributed to Feng-Yu Yue.

3 recordsLinked to original sources

Transversal Passivity: Dissipation Relative to Input and Output Manifolds

This paper introduces transversal passivity, a local dissipation property for regulating input and output signals to prescribed manifolds. Its supply rate is built from the transverse port errors induced by nearest-point projections, so that motion along the manifolds is not penalized. We give a necessary condition and a constructive sufficient condition for the property and relate it to existing passivity notions. For feedback interconnections through negative-adjoint linear channels, power conservation no longer cancels the transverse supply. The residual is governed by compatibility defects that depend only on the channels and the prescribed manifolds, so it can be assessed before any closed-loop analysis, and it falls into a hierarchy of exact compatibility, quadratic cancellation, and nonzero quadratic residuals. Since transversal storages are only positive semidefinite, port convergence is obtained by combining compact confinement, for instance by conserved quantities, with a dissipation margin, and we identify a geometric obstruction under which no quadratic margin is available near the feasible states. A federated learning case study with heterogeneous data shows that port convergence can be certified even though no server target is compatible with the interconnection, and that the obstruction arises for a natural choice of target.

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A Passivity Analysis for Nonlinear Consensus on Digraphs

This work presents a passivity-based analysis for the nonlinear output agreement problem in network systems over directed graphs. We reformulate the problem as a convergence analysis on the agreement submanifold. First, we establish how passivity properties of individual agents and controllers determine the passivity of their associated system relations. Building on this, we introduce the concept of submanifold-constrained passivity and develop a novel compensation theorem that ensures output convergence to the agreement submanifold. Unlike previous approaches, our approach can analyze the network system with arbitrary digraphs and any passive agents. We apply this framework to analyze the output agreement problem for network systems consisting of nonlinear and passive agents. Numerical examples support our results.

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A Passivity Analysis for Nonlinear Consensus on Balanced Digraphs

This work deals with the output consensus problem for multiagent systems over balanced digraphs by passivity analysis. As the standard diffusive coupling structure only models the undirected interconnection, we propose a general approach capable of processing directed coupling and performing passivity analysis. To mitigate the complexity arising from the nonlinearity and directed interconnections, we reformulate the output consensus problem as a convergence analysis on a submanifold. We provide passivity analysis and establish a sufficient condition based on passivity for achieving output agreement in multi-agent systems over balanced digraphs. The results are supported by a numerical example.

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