Search Results for author: Shenyu Liu

Found 6 papers, 0 papers with code

Control Theoretic Approach to Fine-Tuning and Transfer Learning

no code implementations17 Apr 2024 Erkan Bayram, Shenyu Liu, Mohamed-Ali Belabbas, Tamer Başar

Given a training set in the form of a paired $(\mathcal{X},\mathcal{Y})$, we say that the control system $\dot{x} = f(x, u)$ has learned the paired set via the control $u^*$ if the system steers each point of $\mathcal{X}$ to its corresponding target in $\mathcal{Y}$.

Transfer Learning

Online Data-Driven Adaptive Control for Unknown Linear Time-Varying Systems

no code implementations27 Jan 2024 Shenyu Liu, Kaiwen Chen, Jaap Eising

This paper proposes a novel online data-driven adaptive control for unknown linear time-varying systems.

Further characterizations of integral input-to-state stability for hybrid systems

no code implementations14 Dec 2022 Shenyu Liu, Antonio Russo

In this work we present further characterizations of integral input-to-state stability (iISS) for hybrid systems.

On Polynomially Solvable Constrained Input Selections for Fixed and Switched Linear Structured Systems

no code implementations3 Apr 2022 Yuan Zhang, Yuanqing Xia, Shenyu Liu, Zhongqi Sun

In this paper, it is found that, if the input structure satisfies certain `regularizations', which are characterized by the proposed restricted total unimodulairty notion, those problems can be solvable in polynomial time via linear programming (LP) relaxations.

Unified stability criteria for perturbed LTV systems with unstable instantaneous dynamics

no code implementations14 Nov 2021 Shenyu Liu

We then state our main result of the work, which requires the combined assessment of the total variation of the system matrix, the measure when the system is not sufficiently "stable" and the estimate of the perturbation to be upper bounded by a function affine in time.

Iterative Algorithms for Assessing Network Resilience Against Structured Perturbations

no code implementations14 May 2021 Shenyu Liu, Sonia Martinez, Jorge Cortes

This paper studies network resilience against structured additive perturbations to its topology.

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