Abstract
Recent technology has led to systems with architectures that distribute the controller effort over sub-controllers to respect information flow and/or resource constraints. The associated communication uncertainty between sub-controllers partly governs the performance of the controller. The related controller synthesis methodology has to address internal stability concerns and has to incorporate the effect of communication uncertainty into the performance metric. In this article, it is demonstrated that different canonical distributed architectures derived from a centralized design can result in appreciably different performance. Architectures of information flow that result in convex optimization problems are developed and synthesis methods to incorporate robustness with respect to model uncertainty of communication channels are obtained. The efficacy of the approach is demonstrated on application problems.
| Original language | English (US) |
|---|---|
| Article number | 5532326 |
| Pages (from-to) | 1765-1780 |
| Number of pages | 16 |
| Journal | IEEE Transactions on Automatic Control |
| Volume | 55 |
| Issue number | 8 |
| DOIs | |
| State | Published - Aug 2010 |
Bibliographical note
Funding Information:Manuscript received November 12, 2007; revised September 09, 2008; accepted February 18, 2010. Current version published July 30, 2010. This work was supported in part by National Science Foundation under Grants ECS-0814612 and CMMI-0814615. Recommended by Associate Editor K. H. Johansson.
Keywords
- Banded structure
- Youla parameter
- communication noise
- coprime factorization
- distributed system
- nested system
- observer based controller
- structured system
- uncertainty