Abstract
There have been efforts in the last several years to use multidimensional system representations for the control of spatially distributed systems. By expressing spatially distributed systems as multidimensional system models, it has been shown that semidefinite programming techniques can be used for control design and analysis. This formulation can in fact be interpreted as the natural generalization of linear fractional transformation based robust control tools to spatially distributed systems. While most models of physical systems are continuous time models, discrete models are required for control implementation. In this paper, we address the issue of constructing discrete time models from continuous time models for spatially distributed systems.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 197-202 |
| Number of pages | 6 |
| Journal | Proceedings of the IEEE Conference on Decision and Control |
| Volume | 1 |
| State | Published - 1999 |
| Externally published | Yes |
| Event | The 38th IEEE Conference on Decision and Control (CDC) - Phoenix, AZ, USA Duration: Dec 7 1999 → Dec 10 1999 |
ASJC Scopus subject areas
- Control and Optimization
- Control and Systems Engineering
- Modeling and Simulation