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108
Voted
CDC
2009
IEEE
156views Control Systems» more  CDC 2009»
15 years 7 months ago
An optimization approach to adaptive Kalman filtering
— In this paper, an optimization-based adaptive Kalman filtering method is proposed. The method produces an estimate of the process noise covariance matrix Q by solving an optim...
Maja Karasalo, Xiaoming Hu
138
Voted
MCSS
2006
Springer
15 years 3 months ago
Global complete observability and output-to-state stability imply the existence of a globally convergent observer
In this paper we consider systems which are globally completly observable and output-to-state stable. The former property guarantees the existence of coordinates such that the dyna...
Alessandro Astolfi, Laurent Praly
CCE
2005
15 years 3 months ago
Compartmental modeling of high purity air separation columns
High purity distillation columns are critical unit operations in cryogenic air separation plants. The development of nonlinear control technology is motivated by the need to frequ...
Shoujun Bian, Suabtragool Khowinij, Michael A. Hen...
127
Voted
CDC
2010
IEEE
139views Control Systems» more  CDC 2010»
14 years 10 months ago
An adaptive-covariance-rank algorithm for the unscented Kalman filter
Abstract-- The Unscented Kalman Filter (UKF) is a nonlinear estimator that is particularly well suited for complex nonlinear systems. In the UKF, the error covariance is estimated ...
Lauren E. Padilla, Clarence W. Rowley
119
Voted
CDC
2010
IEEE
134views Control Systems» more  CDC 2010»
14 years 10 months ago
Observer design for Lipschitz systems with discrete-time measurements
In this paper, the authors investigate the problem of designing an observer for Lipschitz nonlinear systems with discrete time measurements (continuous-discrete time systems). The ...
Vincent Andrieu, Madiha Nadri