A New Approach to System Identification and State Estimation

Abstract

An effective on-line procedure is presented for system identification and state estimation for multiple-input multiple-output linear systems. The proposed solution offers consistent system identification, bounding of the steady-state covariance, and computational savings. Also, this solution is applicable to a larger class of problems than previously proposed solutions.