Global-local observer markov parameter identification for system resalization

摘要

This paper presents a new version of the Observer/Kalman Filter Identification Method (OKID) and is termed Global-Local OKID. The OKID method uses general input/output data to compute the Markov parameters of an asymptotically stable observer. The Markov parameters of the original system are then determined recursively from the Markov parameters of the observer system. A realization is subsequently obtained from these estimated markov parameters. However, numerical ill-conditioning, data cquisition, and computer memory restrictions may limit the number of measurements which can be processed for Markov parameter estimation.