Name
Abstract | ||
|---|---|---|
Hybrid systems with memory refer to dynamical systems exhibiting both hybrid and delay phenomena. While systems of this type are frequently encountered in many physical and engineering systems, particularly in control applications, various issues centered around the robustness of hybrid delay systems have not been adequately dealt with. In this paper, we establish some basic results on a framework that allows to study hybrid systems with memory through generalized concepts of solutions. In particular, we develop the basic existence of generalized solutions using regularity conditions on the hybrid data, which are formulated in a phase space of hybrid trajectories equipped with the graphical convergence topology. In contrast with the uniform convergence topology that has been often used, adopting the graphical convergence topology allows us to establish well-posedness of hybrid systems with memory. We then show that, as a consequence of well-posedness, pre-asymptotic stability of well-posed hybrid systems with memory is robust. |
Year | Venue | Field |
|---|---|---|
2015 | CoRR | Convergence (routing),Mathematical optimization,Phase space,Uniform convergence,Robustness (computer science),Hybrid data,Dynamical systems theory,Hybrid system,Mathematics |
DocType | Volume | Citations |
Journal | abs/1507.06210 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Liu | 1 | 215 | 20.63 |
| Andrew R. Teel | 2 | 2847 | 248.90 |