An Adaptive State Estimation Solution to the Maneuvering Target Problem

IEEE Transactions on Automatic Control

Volumn 20, Issue 3, 1975, Pages 359-362

  Moose, Richard L ^a  

^a VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONTROL SYSTEMS - KALMAN FILTERS;

STATE ESTIMATION;

CONTROL SYSTEMS, ADAPTIVE;

EID: 0016516534     PISSN: 00189286     EISSN: 15582523     Source Type: Journal    
DOI: 10.1109/TAC.1975.1100961     Document Type: Article

References (4)

1. R. A. Howard, “System analysis of semi-Markov processes,” IEEE Trans. Mil. Electron., vol. MIL-8, pp. 114–124, Apr. 1964.
2. R. L. Moose and P. P. Wang. “An adaptive estimator with learning for a plant containing semi-Markov switching parameters,” IEEE Trans. Svst., Man, Cybern. (Corresp.), vol. SMC-3, pp. 277–281, May 1973.
3. D. T. Magill, “Optimal adaptive estimation of sampled stochastic processes.” IEEE Trans. Automat. Contr., vol. AC-10, pp. 434–439, Oct. 1965.
4. G. A. Ackerson and K. S. Fu, “On state estimation in switching environments,” IEEE Trans. Automat. Contr., vol. AC-15, pp. 10–17, Feb. 1970.