Peter S. Maybeck

发表

Cost-function-based hypothesis control techniques for multiple hypothesis tracking

Jason L. Williams, Peter S. Maybeck, Jason L. Williams, 2004, SPIE Defense + Commercial Sensing.

Peter S. Maybeck, Michael J. Stepaniak, 1998 .

Density algorithm based moving-bank MMAE

Peter S. Maybeck, J. R. Vasquez, P. Maybeck, 1999, Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304).

Cost-function-based hypothesis control techniques for multiple hypothesis tracking

Jason L. Williams, Peter S. Maybeck, 2006, Math. Comput. Model..

A new generalized residual multiple model adaptive estimator of parameters and states

Peter S. Maybeck, John F. Raquet, Charles D. Ormsby, 2006, Math. Comput. Model..

Tracking of a reflective target using infrared measurements and laser illumination

Peter S. Maybeck, T. D. Herrera, R. J. Evans, 1992, [1992] Proceedings of the 31st IEEE Conference on Decision and Control.

Comparative Analysis of Backpropagation and the Extended Kalman Filter for Training Multilayer Perceptrons

Mark E. Oxley, Steven K. Rogers, Matthew Kabrisky, 1992, IEEE Trans. Pattern Anal. Mach. Intell..

Confidence intervals for univariate discrete-event simulation output using the Kalman filter

Kenneth W. Bauer, Peter S. Maybeck, Mark A. Gallagher, 1992, WSC '92.

Initial data truncation for univariate output of discrete-event simulations using the Kalman filter

Kenneth W. Bauer, Peter S. Maybeck, Mark A. Gallagher, 1996 .

Adaptive tracking of multiple hot-spot target IR images

Peter S. Maybeck, S. Rogers, 1983 .

Adaptive tracking of dynamic airborne vehicles based on (flir) image plane intensity data

Peter S. Maybeck, 1986 .

Multiple model adaptive control of a large flexible space structure with purposeful dither for enhanced identifiability

Peter S. Maybeck, J. A. Fitch, 1994, Proceedings of 1994 33rd IEEE Conference on Decision and Control.

Space Structure Control using Multiple Model Adaptive Estimation And Control

Peter S. Maybeck, Gregory J. Schiller, G. J. Schiller, 1994 .

Moving-Bank Multiple Model Adaptive Estimation and Control Algorithms: An Evaluation

Peter S. Maybeck, P. Maybeck, 1989 .

A Multiple Filter Approach for Precise Kinematic DGPS Positioning and Carrier-Phase Ambiguity Resolution

John F. Raquet, Peter S. Maybeck, Paul E. Henderson, 2002 .

Characterization of Kalman filter residuals in the presence of mismodeling

Peter S. Maybeck, Peter D. Hanlon, 2000, IEEE Trans. Aerosp. Electron. Syst..

Multiple model adaptive controller for the STOL F-15 with sensor/actuator failures

Peter S. Maybeck, D. L. Pogoda, 1989, Proceedings of the 28th IEEE Conference on Decision and Control,.

V I A REF I NED A I R-TO-A I R M I SS ILE ACCELERAT I ON MODEL I NG

Wright-Patterson Afb, Peter S. Maybeck, Salvatore J. Cusumano, 1978 .

GPS Signal Offset Detection and Noise Strength Estimation in a Parallel Kalman Filter Algorithm

John F. Raquet, Peter S. Maybeck, Barry J. Vanek, 1999 .

Infinite-dimensional sampled-data Kalman filter

Mark E. Oxley, Peter S. Maybeck, Scott A. Sallberg, 2010, 49th IEEE Conference on Decision and Control (CDC).

Multiple model adaptive estimation with filter spawning

Peter S. Maybeck, K. A. Fisher, P. Maybeck, 2000, Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).

Multiple-model adaptive estimation using a residual correlation Kalman filter bank

Peter S. Maybeck, Peter D. Hanlon, 2000, IEEE Trans. Aerosp. Electron. Syst..

The Use of Optimal Smoothing and Nonlinear Filtering in Pseudolite-Based Positioning Systems

Peter S. Maybeck, John F. Raquet, T. J. Bouska, 2003 .

Reducing lag in virtual displays using multiple model adaptive estimation

Peter S. Maybeck, D. W. Kyger, 1998 .

Reducing lag in virtual displays using multiple model adaptive estimation

Peter S. Maybeck, D. W. Kyger, P. Maybeck, 1997, Proceedings of the 1997 American Control Conference (Cat. No.97CH36041).

Multiple-model adaptive estimation using a residual correlation Kalman filter bank

Peter S. Maybeck, P. D. Hanlon, P. Maybeck, 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

MMAE/MMAC techniques applied to large space structure bending with multiple uncertain parameters

Peter S. Maybeck, G. C. Griffin, 1995, Proceedings of 1995 34th IEEE Conference on Decision and Control.

Infinite-dimensional sampled-data Kalman filtering and the stochastic heat equation

Mark E. Oxley, Peter S. Maybeck, Scott A. Sallberg, 2010, 49th IEEE Conference on Decision and Control (CDC).

Initial data truncation for multivariate output of discrete-event simulations using the Kalman filter

Kenneth W. Bauer, Peter S. Maybeck, Mark A. Gallagher, 1994, Ann. Oper. Res..

An Optically Implemented Multiple-Stage Kalman Filter Algorithm

Peter S. Maybeck, William A. Roemer, 1983, Optics & Photonics.

Novel electrocardiogram segmentation algorithm using a multiple model adaptive estimator

Mikel M. Miller, Peter S. Maybeck, John F. Raquet, 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

New algorithms for moving-bank multiple model adaptive estimation

Peter S. Maybeck, Juan Roberto Vasquez, 1998 .

Sensor/actuator failure detection in the Vista F-16 by multiple model adaptive estimation

Peter S. Maybeck, Timothy E. Menke, 1995, IEEE Transactions on Aerospace and Electronic Systems.

Control of a large flexible space structure with moving-bank multiple model adaptive algorithms

Peter S. Maybeck, J. A. Gustafson, 1992, [1992] Proceedings of the 31st IEEE Conference on Decision and Control.

Reconfigurable flight control via multiple model adaptive control methods

Peter S. Maybeck, R. D. Stevens, 1990, 29th IEEE Conference on Decision and Control.

Interrelationship of Si ngle-F Iter and Multiple-Model Adaptive AI go r i t h m s

Peter S. Maybeck, Peter D. Hanlon, 1998 .

Space structure control using moving bank multiple model adaptive estimation

Peter S. Maybeck, R. W. Lashlee, P. Maybeck, 1988, Proceedings of the 27th IEEE Conference on Decision and Control.

Investigation of moving-bank multiple model adaptive algorithms

Peter S. Maybeck, Peter S. Maybeck, Karl P. Hentz, 1987 .

On an assumed convergence result in the LQG/LTR technique

Peter S. Maybeck, C. L. Matson, 1987 .

Performance Analysis of a Particularly Simple Kalman Filter

Peter S. Maybeck, 1978 .

Enhancements to a multiple model adaptive estimator/image-tracker

Peter S. Maybeck, P. Maybeck, D. M. Tobin, 1988 .

Interrelationship of single-filter and multiple-model adaptive algorithms

Peter S. Maybeck, P. D. Hanlon, P. Maybeck, 1998 .

An optimizing design strategy for multiple model adaptive estimation and control

Peter S. Maybeck, S. N. Sheldon, 1993, IEEE Trans. Autom. Control..

An alternate algorithm for discrete-time filtering

Peter S. Maybeck, F. H. Zeitz, 1993 .

An optimizing design strategy for multiple model adaptive estimation and control

Peter S. Maybeck, S. N. Sheldon, P. Maybeck, 1990, 29th IEEE Conference on Decision and Control.

Target tracking using infrared measurements and laser illumination

Peter S. Maybeck, T. D. Herrera, R. J. Evans, 1994 .

An algebraic representation of parameter sensitivity in linear time-invariant systems

James D. Dillow, Robert B. Asher, Peter S. Maybeck, 1976 .

Characterization of Kalman filter residuals in the presence of mismodeling

Peter S. Maybeck, P. D. Hanlon, P. Maybeck, 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

Application of sequence comparison techniques to multisensor data fusion and target recognition

Peter S. Maybeck, E. W. Libby, 1993, Proceedings of 32nd IEEE Conference on Decision and Control.