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Journal Articles
- 2006
[j7]Jason L. Williams, Peter S. Maybeck:
Cost-function-based hypothesis control techniques for multiple hypothesis tracking. Math. Comput. Model. 43(9-10): 976-989 (2006)- [j6]Charles D. Ormsby, John F. Raquet, Peter S. Maybeck:
A new generalized residual multiple model adaptive estimator of parameters and states. Math. Comput. Model. 43(9-10): 1092-1113 (2006) - 2000
- [j5]Peter D. Hanlon, Peter S. Maybeck:
Characterization of Kalman filter residuals in the presence of mismodeling. IEEE Trans. Aerosp. Electron. Syst. 36(1): 114-131 (2000) - [j4]Peter D. Hanlon, Peter S. Maybeck:
Multiple-model adaptive estimation using a residual correlation Kalman filter bank. IEEE Trans. Aerosp. Electron. Syst. 36(2): 393-406 (2000) - 1994
- [j3]Mark A. Gallagher, Kenneth W. Bauer Jr., Peter S. Maybeck:
Initial data truncation for multivariate output of discrete-event simulations using the Kalman filter. Ann. Oper. Res. 53(1): 419-441 (1994) - 1993
- [j2]Stuart N. Sheldon, Peter S. Maybeck:
An optimizing design strategy for multiple model adaptive estimation and control. IEEE Trans. Autom. Control. 38(4): 651-654 (1993) - 1992
- [j1]Dennis W. Ruck, Steven K. Rogers, Matthew Kabrisky, Peter S. Maybeck, Mark E. Oxley:
Comparative Analysis of Backpropagation and the Extended Kalman Filter for Training Multilayer Perceptrons. IEEE Trans. Pattern Anal. Mach. Intell. 14(6): 686-691 (1992)
Conference and Workshop Papers
- 2010
- [c6]Scott A. Sallberg, Peter S. Maybeck, Mark E. Oxley:
Infinite-dimensional sampled-data Kalman filtering and the stochastic heat equation. CDC 2010: 5062-5067 - [c5]Scott A. Sallberg, Peter S. Maybeck, Mark E. Oxley:
Infinite-dimensional sampled-data Kalman filter. CDC 2010: 7363-7368 - 2002
- [c4]Gregory S. Hoffman, Mikel M. Miller, Matthew Kabrisky, Peter S. Maybeck, John F. Raquet:
Novel electrocardiogram segmentation algorithm using a multiple model adaptive estimator. CDC 2002: 2524-2529 - 2000
- [c3]Kenneth A. Fisher, Peter S. Maybeck:
Multiple model adaptive estimation with filter spawning. ACC 2000: 2326-2331 - [c2]Thomas E. Brehm, Peter S. Maybeck:
Generalized LQG design by filter and controller model selection. CDC 2000: 2700-2705 - 1992
- [c1]Randall B. Howard, Mark A. Gallagher, Kenneth W. Bauer Jr., Peter S. Maybeck:
Confidence Intervals for Univariate Discrete-Event Simulation Output Using the Kalman Filter. WSC 1992: 586-593
Parts in Books or Collections
- 1990
- [p1]Peter S. Maybeck:
The Kalman Filter: An Introduction to Concepts. Autonomous Robot Vehicles 1990: 194-204
Coauthor Index
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