Peter S. Maybeck - researchr alias

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Viewing Publication 1 - 15 from 15

2010

Infinite-dimensional sampled-data Kalman filtering and the stochastic heat equationScott A. Sallberg, Peter S. Maybeck, Mark E. Oxley. cdc 2010: 5062-5067 [doi]

Infinite-dimensional sampled-data Kalman filterScott A. Sallberg, Peter S. Maybeck, Mark E. Oxley. cdc 2010: 7363-7368 [doi]

2006

A new generalized residual multiple model adaptive estimator of parameters and statesCharles D. Ormsby, John F. Raquet, Peter S. Maybeck. mcm, 43(9-10):1092-1113, 2006. [doi]

Cost-function-based hypothesis control techniques for multiple hypothesis trackingJason L. Williams, Peter S. Maybeck. mcm, 43(9-10):976-989, 2006. [doi]

2002

Novel electrocardiogram segmentation algorithm using a multiple model adaptive estimatorGregory S. Hoffman, Mikel M. Miller, Matthew Kabrisky, Peter S. Maybeck, John F. Raquet. cdc 2002: 2524-2529 [doi]

2000

1994

Initial data truncation for multivariate output of discrete-event simulations using the Kalman filterMark A. Gallagher, Kenneth W. Bauer Jr., Peter S. Maybeck. anor, 53(1):419-441, 1994. [doi]

1993

An optimizing design strategy for multiple model adaptive estimation and controlStuart N. Sheldon, Peter S. Maybeck. tac, 38(4):651-654, 1993. [doi]

1992

Confidence Intervals for Univariate Discrete-Event Simulation Output Using the Kalman FilterRandall B. Howard, Mark A. Gallagher, Kenneth W. Bauer Jr., Peter S. Maybeck. wsc 1992: 586-593 [doi]

Comparative Analysis of Backpropagation and the Extended Kalman Filter for Training Multilayer PerceptronsDennis W. Ruck, Steven K. Rogers, Matthew Kabrisky, Peter S. Maybeck, Mark E. Oxley. pami, 14(6):686-691, 1992. [doi]

1990

The Kalman Filter: An Introduction to ConceptsPeter S. Maybeck. In Ingemar J. Cox, Gordon T. Wilfong, editors, Autonomous Robot Vehicles. pages 194-204, Springer, 1990. [doi]

1980

Stochastic Models, Estimation, and Control, Volume IPeter S. Maybeck, George M. Siouris. tsmc, 10(5):282, 1980. [doi]

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