Implicit Function Theorems for Multi-Valued Mappings

This paper deals with the proof of implicit function theorems for certain classes of set-valued functions. The techniques applied here are mainly based on the duality theory of convex analysis

Optimal Inputs for Guaranteed Identification

While treating the problem of identifying a vector parameter under unknown but bounded errors this paper deals with the selection of an optimal input for the identification process. This would ensure a smallest possible diameter for the worst-case set of states consistent with the measurements and the restrictions on the unknowns