Abstract: 
	In this paper we propose a new approach to robust optimal experiment design. 
	The key departure from earlier work is that we specifically account for the fact that, prior to the
	experiment, we possess only partial knowledge of the system.We also give a detailed analysis
	of the solution for a simple case and propose a concave optimization algorithm that can be
	applied more generally.