Title :
A New Approach to System Identification and State Estimation
Author :
Budin, Michael A.
fDate :
7/1/1972 12:00:00 AM
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.
Keywords :
Estimation error; Kalman filters; Linear systems; MIMO; Random processes; State estimation; State-space methods; Statistics; Steady-state; System identification;
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
DOI :
10.1109/TSMC.1972.4309135