This paper builds upon previous work by providing a statistical basis for multiplemodel system identification. Multiple model system identification is useful because many models representing different sets of modeling assumptions may fit the measurements. The presence of errors in modeling and measurement increases the number of possible models. Modeling error depends on inaccuracies in (i) the...
