In this paper we present a brief tutorial and a Toolbox for the area of Robust Identification, i.e. deterministic, worst-case identification of dynamic systems. The uncertain models obtained fit exactly the framework of Robust control, speciallyH∞ procedures, if the control of the system is the objective. The use of several of the identification algorithms are illustrated by means of a simulate...

This paper develops identification results for the distribution of valuations in a class of allocation-transfer mechanisms. These mechanisms determine an allocation of units of a valuable object and arrangement of monetary transfers on the basis of the actions taken by the players. The identification strategy is based on the assumption of monotone equilibrium, in which players take actions that...

neural networks are applicable in identification systems from input-output data. in this report, we analyze thehammerstein-wiener models and identify them. thehammerstein-wiener systems are the simplest type of block orientednonlinear systems where the linear dynamic block issandwiched in between two static nonlinear blocks, whichappear in many engineering applications; the aim of nonlinearsyst...