-
1
-
-
0027539898
-
The iterated Kalman filter update as a Gauss-Newton method
-
Bell F., and Cathey B. The iterated Kalman filter update as a Gauss-Newton method. IEEE Transactions on Automatic Control 38 2 (1993) 294-297
-
(1993)
IEEE Transactions on Automatic Control
, vol.38
, Issue.2
, pp. 294-297
-
-
Bell, F.1
Cathey, B.2
-
2
-
-
4243583364
-
A square root formulation of the Kalman schmidt filter
-
Bellatoni J., and Dodge K. A square root formulation of the Kalman schmidt filter. AIAA Journal 5 (1967) 1309-1314
-
(1967)
AIAA Journal
, vol.5
, pp. 1309-1314
-
-
Bellatoni, J.1
Dodge, K.2
-
3
-
-
11844302910
-
Resampling algorithms for particle filters: a computational complexity perspective
-
Boloc M., Djuric P., and Hong S. Resampling algorithms for particle filters: a computational complexity perspective. EURASIP Journal of Applied Signal Processing 15 (2004) 2267-2277
-
(2004)
EURASIP Journal of Applied Signal Processing
, vol.15
, pp. 2267-2277
-
-
Boloc, M.1
Djuric, P.2
Hong, S.3
-
4
-
-
3042733565
-
Bayesian estimation via sequential Monte Carlo sampling: unconstrained nonlinear dynamic systems
-
Chen W., Bakshi B., Goel P., and Ungarala S. Bayesian estimation via sequential Monte Carlo sampling: unconstrained nonlinear dynamic systems. Industrial & Engineering Chemistry Research 43 (2004) 4012-4025
-
(2004)
Industrial & Engineering Chemistry Research
, vol.43
, pp. 4012-4025
-
-
Chen, W.1
Bakshi, B.2
Goel, P.3
Ungarala, S.4
-
6
-
-
23844456306
-
Nonlinear filters: beyond the Kalman filter
-
Daum F. Nonlinear filters: beyond the Kalman filter. IEEE A&E Systems Magazine 20 8 (2005) 57-69
-
(2005)
IEEE A&E Systems Magazine
, vol.20
, Issue.8
, pp. 57-69
-
-
Daum, F.1
-
7
-
-
0003838908
-
On Sequential Simulation-based Methods for Bayesian Filtering
-
Technical Report, Department of Engineering, Cambridge University
-
A. Doucet, S. Godsill, On Sequential Simulation-based Methods for Bayesian Filtering, Technical Report, Department of Engineering, Cambridge University, 1998.
-
(1998)
-
-
Doucet, A.1
Godsill, S.2
-
9
-
-
67651187659
-
Kalman Filtering with Equality and Inequality State Constraints
-
Technical Report, Oxford University Computing Laboratory
-
N. Gupta, R. Hauser, Kalman Filtering with Equality and Inequality State Constraints, Technical Report, Oxford University Computing Laboratory, 2007.
-
(2007)
-
-
Gupta, N.1
Hauser, R.2
-
10
-
-
84874286884
-
Monte Carlo techniques to estimate the conditional expectation in multistage nonlinear filtering
-
Handschin J.E., and Mayne D.Q. Monte Carlo techniques to estimate the conditional expectation in multistage nonlinear filtering. International Journal of Control 9 5 (1969) 547-559
-
(1969)
International Journal of Control
, vol.9
, Issue.5
, pp. 547-559
-
-
Handschin, J.E.1
Mayne, D.Q.2
-
11
-
-
18144401714
-
Critical evaluation of extended Kalman filtering and moving-horizon estimation
-
Haseltine E.L., and Rawlings J.B. Critical evaluation of extended Kalman filtering and moving-horizon estimation. Industrial & Engineering Chemistry Research 44 (2005) 2451-2460
-
(2005)
Industrial & Engineering Chemistry Research
, vol.44
, pp. 2451-2460
-
-
Haseltine, E.L.1
Rawlings, J.B.2
-
12
-
-
84916593381
-
A Bayesian approach to problems in stochastic estimation and control
-
Ho Y.C., and Lee R.C.K. A Bayesian approach to problems in stochastic estimation and control. IEEE Transactions on Automatic Control 9 5 (1964) 333-339
-
(1964)
IEEE Transactions on Automatic Control
, vol.9
, Issue.5
, pp. 333-339
-
-
Ho, Y.C.1
Lee, R.C.K.2
-
14
-
-
34249794868
-
On Kalman filtering with nonlinear equality constraints
-
Julier S., and LaViola J. On Kalman filtering with nonlinear equality constraints. IEEE Transactions on Signal Processing 55 6 (2007) 2774-2784
-
(2007)
IEEE Transactions on Signal Processing
, vol.55
, Issue.6
, pp. 2774-2784
-
-
Julier, S.1
LaViola, J.2
-
15
-
-
21244437999
-
Unscented filtering and nonlinear estimation
-
Julier S., and Uhlmann J. Unscented filtering and nonlinear estimation. Proceedings of the IEEE 92 (2004) 401-422
-
(2004)
Proceedings of the IEEE
, vol.92
, pp. 401-422
-
-
Julier, S.1
Uhlmann, J.2
-
16
-
-
44649122952
-
Applying the unscented Kalman filter for nonlinear state estimation
-
Kandepu R., Foss B., and Imsland L. Applying the unscented Kalman filter for nonlinear state estimation. Journal of Process Control 18 (2008) 753-768
-
(2008)
Journal of Process Control
, vol.18
, pp. 753-768
-
-
Kandepu, R.1
Foss, B.2
Imsland, L.3
-
18
-
-
67349245537
-
Constrained nonlinear state estimation based on the UKF approach
-
Kolås S., Foss B., and Schei T. Constrained nonlinear state estimation based on the UKF approach. Computers & Chemical Engineering 33 8 (2009) 1386-1401
-
(2009)
Computers & Chemical Engineering
, vol.33
, Issue.8
, pp. 1386-1401
-
-
Kolås, S.1
Foss, B.2
Schei, T.3
-
21
-
-
0003939997
-
-
Birkhåuser, Boston
-
S. Kotz, T. Kozubowski, K. Podgorski, The Laplace Distribution and Generalizations: A Revisit with Applications to Communications, Economics, Engineering, and Finance, Birkhåuser, Boston, 2001.
-
(2001)
The Laplace Distribution and Generalizations: A Revisit with Applications to Communications, Economics, Engineering, and Finance
-
-
Kotz, S.1
Kozubowski, T.2
Podgorski, K.3
-
22
-
-
33847622602
-
A particle filtering approach to constrained motion estimation in tracking multiple targets
-
I. Kyriakides, D. Morrell, A. Papandreou-Suppappola, A particle filtering approach to constrained motion estimation in tracking multiple targets, in: The 39th Asilomar Conference on Signals, Systems and Computer, 2005.
-
(2005)
The 39th Asilomar Conference on Signals, Systems and Computer
-
-
Kyriakides, I.1
Morrell, D.2
Papandreou-Suppappola, A.3
-
23
-
-
34547583106
-
Bayesian estimation via sequential Monte Carlo sampling-constrained dynamic systems
-
Lang L., Chen W., Bakshi B., Goel P., and Ungarala S. Bayesian estimation via sequential Monte Carlo sampling-constrained dynamic systems. Automatica 43 (2007) 1615-1622
-
(2007)
Automatica
, vol.43
, pp. 1615-1622
-
-
Lang, L.1
Chen, W.2
Bakshi, B.3
Goel, P.4
Ungarala, S.5
-
28
-
-
0038165025
-
Constrained process monitoring: moving-horizon approach
-
Rao C., and Rawlings J. Constrained process monitoring: moving-horizon approach. AIChE Journal 48 (2002) 97-109
-
(2002)
AIChE Journal
, vol.48
, pp. 97-109
-
-
Rao, C.1
Rawlings, J.2
-
29
-
-
0035480348
-
Constrained linear state estimation moving horizon approach
-
Rao C.V., Rawlings J.B., and Lee J.H. Constrained linear state estimation moving horizon approach. Automatica 37 10 (2001) 1619-1628
-
(2001)
Automatica
, vol.37
, Issue.10
, pp. 1619-1628
-
-
Rao, C.V.1
Rawlings, J.B.2
Lee, J.H.3
-
31
-
-
0030215706
-
A moving horizon-based approach for least-squares state estimation
-
Robertson D.G., Lee J.H., and Rawlings J.B. A moving horizon-based approach for least-squares state estimation. AIChE Journal 42 8 (1996) 2209-2224
-
(1996)
AIChE Journal
, vol.42
, Issue.8
, pp. 2209-2224
-
-
Robertson, D.G.1
Lee, J.H.2
Rawlings, J.B.3
-
32
-
-
0036642674
-
On the use of constraints in least squares estimation and control
-
Robertsonb D.G., and Lee J.H. On the use of constraints in least squares estimation and control. Automatica 38 7 (2002) 1113-1123
-
(2002)
Automatica
, vol.38
, Issue.7
, pp. 1113-1123
-
-
Robertsonb, D.G.1
Lee, J.H.2
-
34
-
-
65449161004
-
Gain-constrained Kalman filtering for linear and nonlinear systems
-
Teixeira B.O.S., Chandrasekar J., Palanthandalam H., Trres L.A.B., Aguirre L.A., and Bernstein D.S. Gain-constrained Kalman filtering for linear and nonlinear systems. IEEE Transactions on Signal Processing 56 9 (2008) 4113-4123
-
(2008)
IEEE Transactions on Signal Processing
, vol.56
, Issue.9
, pp. 4113-4123
-
-
Teixeira, B.O.S.1
Chandrasekar, J.2
Palanthandalam, H.3
Trres, L.A.B.4
Aguirre, L.A.5
Bernstein, D.S.6
-
35
-
-
67651183882
-
State estimation for linear and nonlinear equality-constrained systems
-
Teixeira B.O.S., Chandrasekar J., Trres L.A.B., Aguirre L.A., and Bernstein D.S. State estimation for linear and nonlinear equality-constrained systems. International Journal of Control 82 5 (2009) 918-936
-
(2009)
International Journal of Control
, vol.82
, Issue.5
, pp. 918-936
-
-
Teixeira, B.O.S.1
Chandrasekar, J.2
Trres, L.A.B.3
Aguirre, L.A.4
Bernstein, D.S.5
-
36
-
-
62949178808
-
Unscented filtering for interval-constrained nonlinear systems
-
B.O.S. Teixeira, L.A.B. Trres, L.A. Aguirre, D.S. Bernstein, Unscented filtering for interval-constrained nonlinear systems, in: Proceedings of the 47th IEEE Conference on Decision and Control, 2008b.
-
(2008)
Proceedings of the 47th IEEE Conference on Decision and Control
-
-
Teixeira, B.O.S.1
Trres, L.A.B.2
Aguirre, L.A.3
Bernstein, D.S.4
-
39
-
-
33750313512
-
Robust and reliable estimation via unscented recursive nonlinear dynamic data reconciliation
-
Vachhani P., Narasimhan S., and Rengaswamy R. Robust and reliable estimation via unscented recursive nonlinear dynamic data reconciliation. Journal of Process Control 16 (2006) 1075-1086
-
(2006)
Journal of Process Control
, vol.16
, pp. 1075-1086
-
-
Vachhani, P.1
Narasimhan, S.2
Rengaswamy, R.3
-
42
-
-
0004286947
-
The Unscented Particle Filter
-
Technical Report, Cambridge University Engineering Department
-
R. vander Merwe, A. Doucet, N. deFreitas, E. Wan, The Unscented Particle Filter, Technical Report, Cambridge University Engineering Department, 2000.
-
(2000)
-
-
vander Merwe, R.1
Doucet, A.2
deFreitas, N.3
Wan, E.4
-
43
-
-
52049101562
-
A fast moving horizon estimation algorithm based on nonlinear programming sensitivity
-
Zavala V., Larid C., and Biegler L. A fast moving horizon estimation algorithm based on nonlinear programming sensitivity. Journal of Process Control 18 9 (2008) 876-884
-
(2008)
Journal of Process Control
, vol.18
, Issue.9
, pp. 876-884
-
-
Zavala, V.1
Larid, C.2
Biegler, L.3
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