
doi: 10.1002/rnc.1284
AbstractIn this paper we consider distributed control ofndynamic agents to optimize an overall system performance metric. Due to limited communication resources, there exist structured interconnections among the agents and the interest is placed on synthesizing a suitably distributed control law to provide a given performance level. Based on a Youla–Kucera (Y–K) parameterization approach, the problem of designing a distributed controller to deliver given performance levels for different network topologies is shown to be convex in the Y–K parameterQ. Furthermore, if in addition to structured interconnections, packet drops exist in information transmission among the agents, we provide convex conditions to guarantee mean square (MS) stability and to optimize ℋ︁2system performance. The proposed method is also extended to deal with systems of triangular structure. Copyright © 2007 John Wiley & Sons, Ltd.
convex controller, distributed control, Communication networks in operations research, Applications of design theory to circuits and networks, packet drops, Decentralized systems, Youla-Kucera parameter, structured
convex controller, distributed control, Communication networks in operations research, Applications of design theory to circuits and networks, packet drops, Decentralized systems, Youla-Kucera parameter, structured
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 7 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
