Read e-book online Advances in Aerospace Systems Dynamics and Control PDF

By L. T. Leondes

ISBN-10: 0120127318

ISBN-13: 9780120127313

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Extra resources for Advances in Aerospace Systems Dynamics and Control Systems/Part 1 of 3

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M . HAWKES and J. B. MOORE, "Performance Bounds for Adaptive Estimation," Proc. IEEE 64, 1143-1150(1976). 12. J. K. T U G N A I T , "Convergence Analysis of Partitioned Adaptive Estimators Under Continuous Parameter Uncertainty," IEEE Trans. Autom. Control AC-25, 569-573 (1980). 13. S. D A S G U P T A and L. C. WESTPHAL, "Convergence of Partitioned Adaptive Filters for Systems with Unknown Biases," IEEE Trans. Autom. Control AC-28, 614-615 (1983). 14. C. B. C H A N G and M . Ä T H A N S , "State Estimation for Discrete Systems with Switching Parameters," IEEE Trans.

The mean Uj of the process noise can model a maneuver as a deterministic input. It is assumed that the "model jump process" is Markovian with known transition probabilities: Ρ{Μβ)\Μ^-\)}=ρ ψ (57) where Mj(k) means that model j is in effect during sampling period k. The structure of the I M M algorithm consists of r standard filters for state estimation cooperating with a filter for model identification. This is illustrated in Fig. 2 for the r = 2 case. A cycle of the algorithm starts with the model- 50 PETER B.

D. E. D. Dissertation, A. F. Institute of Technology, Wright-Patterson AFB, Ohio (1982). 6. D. E. MEER and P. S. MAYBECK, "Multiple Model Adaptive Estimation for Space-Time Point Process Observations," Proc. IEEE Conf. Decision Control, Las Vegas, Nevada (1984). 7. P. S. MAYBECK, "Stochastic Models, Estimation and Control," Vol. 3, Academic Press, New York, 1982. 8. P. S. M A Y B E C K and W. L. ZICKER, "MMAE-Based Control with Space-Time Point Process Observations," IEEE Trans. Aerosp. Electron.

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Advances in Aerospace Systems Dynamics and Control Systems/Part 1 of 3 by L. T. Leondes

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