On the Use of Convex Optimization in Sensor Network Localization and Synchronization
In this paper we report some new results obtained in the field of multi-agent systems that are based on convex optimization. First, we provide review of a set of polynomial function optimization tools including sum of squares (SOS) and semidefinite programming (SDP). Then we present several applications of these tools in various multiagent system localization and synchronization tasks. As the first application, we propose a method based on SOS relaxation for agent localization using noisy...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of International Federation of Automatic Control Workshop on Estimation and Control of Networked Systems (NecSys 2009)|
|01_Shames_On_the_Use_of_Convex_2009.pdf||199.89 kB||Adobe PDF||Request a copy|
|02_Shames_On_the_Use_of_Convex_2009.pdf||231.07 kB||Adobe PDF||Request a copy|
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