Zobrazeno 1 - 10
of 805
pro vyhledávání: '"PARISINI, Thomas"'
Autor:
Yang, Guitao, Gallo, Alexander J., Barboni, Angelo, Ferrari, Riccardo M. G., Serrani, Andrea, Parisini, Thomas
This paper examines the properties of output-redundant systems, that is, systems possessing a larger number of outputs than inputs, through the lenses of the geometric approach of Wonham et al. We begin by formulating a simple output allocation synth
Externí odkaz:
http://arxiv.org/abs/2409.17705
Learning models of dynamical systems characterized by specific stability properties is of crucial importance in applications. Existing results mainly focus on linear systems or some limited classes of nonlinear systems and stability notions, and the
Externí odkaz:
http://arxiv.org/abs/2409.10212
Autor:
Xu, Gehui, Chen, Guanpu, Fidan, Baris, Hong, Yiguang, Qi, Hongsheng, Parisini, Thomas, Johansson, Karl H.
Sensor network localization (SNL) is a challenging problem due to its inherent non-convexity and the effects of noise in inter-node ranging measurements and anchor node position. We formulate a non-convex SNL problem as a multi-player non-convex pote
Externí odkaz:
http://arxiv.org/abs/2407.04608
Autor:
Chen, Guanpu, Xu, Gehui, He, Fengxiang, Tao, Dacheng, Parisini, Thomas, Johansson, Karl Henrik
In this note, we investigate the robustness of Nash equilibria (NE) in multi-player aggregative games with coupling constraints. There are many algorithms for computing an NE of an aggregative game given a known aggregator. When the coupling paramete
Externí odkaz:
http://arxiv.org/abs/2403.10980
Consider a sensor network consisting of both anchor and non-anchor nodes. We address the following sensor network localization (SNL) problem: given the physical locations of anchor nodes and relative measurements among all nodes, determine the locati
Externí odkaz:
http://arxiv.org/abs/2401.02471
Sensor network localization (SNL) problems require determining the physical coordinates of all sensors in a network. This process relies on the global coordinates of anchors and the available measurements between non-anchor and anchor nodes. Attribut
Externí odkaz:
http://arxiv.org/abs/2311.03326
In this paper we deal with stochastic optimization problems where the data distributions change in response to the decision variables. Traditionally, the study of optimization problems with decision-dependent distributions has assumed either the abse
Externí odkaz:
http://arxiv.org/abs/2310.02384
We revisit an algorithm for distributed consensus optimization proposed in 2010 by J. Wang and N. Elia. By means of a Lyapunov-based analysis, we prove input-to-state stability of the algorithm relative to a closed invariant set composed of optimal e
Externí odkaz:
http://arxiv.org/abs/2204.10030
In this paper, we examine the factors that influence the success of false data injection (FDI) attacks in the context of both cyber and physical styles of reinforcement. Many works consider the FDI attack in the context of the ability to change a mea
Externí odkaz:
http://arxiv.org/abs/2202.10841
State estimation for a class of linear time-invariant systems with distributed output measurements (distributed sensors) and unknown inputs is addressed in this paper. The objective is to design a network of observers such that the state vector of th
Externí odkaz:
http://arxiv.org/abs/2110.05078