Name
Abstract | ||
|---|---|---|
In this paper, dynamic practical stability properties of infinite-dimensional sampled-data systems are discussed. A family of finite-dimensional discrete-time controllers are first designed to uniformly exponentially stabilize numerical approximate models that are obtained from space and time discretization. Sufficient conditions are provided to ensure that these controllers can be used to drive trajectories of infinite-dimensional sampled-data systems to a neighborhood of the origin by properly tuning the sampling period, space and time discretization parameters and choosing an appropriate filtering process for initial conditions. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/CDC.2009.5399931 | CDC |
Keywords | Field | DocType |
sampled-data linear distributed parameter systems,distributed systems,numerical approximate models,asymptotic stability,dynamic practical stabilization,space and time discretiza- tions.,sampled-data,time discretization,space discretization,filtering process,finite-dimensional discrete-time controllers,distributed parameter systems,discrete time systems,uniformly exponentially stability,linear systems,multidimensional systems,practical stability,infinite-dimensional sampled-data systems,stability analysis,trajectory,exponential stability,discrete time,distributed system,distributed parameter system,process control,initial condition,numerical stability | Discretization,Mathematical optimization,Linear system,Control theory,Computer science,Filter (signal processing),Exponential stability,Process control,Distributed parameter system,Numerical stability,Multidimensional systems | Conference |
ISSN | ISBN | Citations |
0191-2216 E-ISBN : 978-1-4244-3872-3 | 978-1-4244-3872-3 | 7 |
PageRank | References | Authors |
0.55 | 11 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ying Tan | 1 | 737 | 86.47 |
| Emmanuel Trélat | 2 | 183 | 24.42 |
| Yacine Chitour | 3 | 246 | 34.41 |
| Dragan Nesic | 4 | 2995 | 293.47 |