System Identification: Conventional Approach

Contents

A necessary prerequisite for conventional model-based control is a model of the process. Such certainty-equivalence, model-based control schemes rely on an off-line estimated model of the process, i.e., the process is “probed” or excited by a carefully designed input signal under open-loop conditions and the input-output data are used to generate a suitable model of the process. Almost always, reduced-complexity models are generated to capture the most dominant dynamics of the process. Such batch or off-line identification methods represent a major effort and may require anywhere from several hours to several weeks of open-loop tests [22].