The presence of bounded-noise in identification data implies uncertainty in the parameters of system models. Earlier results provide analytical means for determining optimal ellipsoidal regions that bound the vector of parameters. Parameter space information however is only of secondary interest...

Finding an accurate solution to the one-dimensional constant-coefficient advection equation is basic to the problem of modelling, for example, the time-dependent spread of contaminants in fluids. A number of explicit finite-difference methods involving two levels in time have been used for this...

This paper deals with the problem of finite-dimensional estimation of functional parameters in a parabolic distributed system from the information theoretic viewpoints. A maximum likelihood estimator based on the Bayesian procedure is derived for overcoming the ill-posedness and its bias is...