Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/57862/1/RobROSEPHBSCL1987.pd
Robust design of autonomous systems under uncertainty is an important yet challenging problem. This ...
This paper investigates the problem of state estimation for linear-time-invariant (LTI) discrete-tim...
The problem of determining optimal state estimates in the face of plant uncertainties is investigate...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/57861/1/NonstrictlyEstimationTAC1988.pd
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/57881/1/OPERODTSEMWNSCL1987.pd
Parametric uncertainty is one of many possible causes of divergence for the Kalman filter. Frequentl...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/57878/1/OptimalProjRedOrderStateEst1985...
Parametric uncertainty is one of many possible causes of divergence for the Kalman filter. Frequentl...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/57879/1/OptProjSingStateEstTAC1987.pd
State optimization approach has been proposed to treating various different system problems in optim...
The aim of this research is to increase the applicability of robust control and estimation to engine...
This paper presents a steady-state robust state estimator for a class of uncertain discrete-time lin...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/57883/1/BernsteinPHBounds.pd
Caption title.Includes bibliographical references (p. 23-25).Supported by the U.S. Air Force Office ...
We present some optimality results for robust Kalman filtering. To this end, we introduce the genera...
Robust design of autonomous systems under uncertainty is an important yet challenging problem. This ...
This paper investigates the problem of state estimation for linear-time-invariant (LTI) discrete-tim...
The problem of determining optimal state estimates in the face of plant uncertainties is investigate...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/57861/1/NonstrictlyEstimationTAC1988.pd
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/57881/1/OPERODTSEMWNSCL1987.pd
Parametric uncertainty is one of many possible causes of divergence for the Kalman filter. Frequentl...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/57878/1/OptimalProjRedOrderStateEst1985...
Parametric uncertainty is one of many possible causes of divergence for the Kalman filter. Frequentl...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/57879/1/OptProjSingStateEstTAC1987.pd
State optimization approach has been proposed to treating various different system problems in optim...
The aim of this research is to increase the applicability of robust control and estimation to engine...
This paper presents a steady-state robust state estimator for a class of uncertain discrete-time lin...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/57883/1/BernsteinPHBounds.pd
Caption title.Includes bibliographical references (p. 23-25).Supported by the U.S. Air Force Office ...
We present some optimality results for robust Kalman filtering. To this end, we introduce the genera...
Robust design of autonomous systems under uncertainty is an important yet challenging problem. This ...
This paper investigates the problem of state estimation for linear-time-invariant (LTI) discrete-tim...
The problem of determining optimal state estimates in the face of plant uncertainties is investigate...
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