The purpose of this survey is to review parameter identification procedures in groundwater
hydrology and to examine computational techniques which have been developed to solve …

This paper presents a functional formulation of the groundwater flow inverse problem that is
sufficiently general to accommodate most commonly used inverse algorithms. Unknown …

For dynamic distributed systems modeled by partial differential equations, existing methods
of sensor location in parameter estimation experiments are either limited to one-dimensional …

The paper reviews the progress of research on parameter estimation for continuous-time
models of dynamic systems over the period 1958–1980. Major developments are …

Paper 2 of this three‐part series starts with a discussion of the question, Under what
conditions is the aquifer inverse problem well‐posed? After defining the terms uniqueness …

Many industrial processes belong to distributed parameter systems (DPS) that have strong
spatial–temporal dynamics. Modeling of DPS is difficult but essential to simulation, control …

The present paper has two aims. One is to survey briefly the state of the art of parameter
estimation in meteorology and oceanography in view of applications of 4-D variational data …

At the outset this paper discusses the relevance and importance of continuous-time
approaches in systems and control in general and in problems of identification in particular …

A survey of the field of optimal sensors and/or controllers location for dynamical distributed
parameter systems modelled by partial differential equations is presented. The recent …

Stochastic analyses of subsurface transport indicate that the concentration distributions of
individual solute plumes may deviate significantly from those predicted by unconditional …