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An application of filtering theory to parameter identification using stochastic mechanics
J. G.B. Beumee,
H. Rabitz
Chemistry
Princeton Materials Institute
Research output
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Contribution to journal
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Article
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peer-review
2
Scopus citations
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Dive into the research topics of 'An application of filtering theory to parameter identification using stochastic mechanics'. Together they form a unique fingerprint.
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Mathematics
Parameter Identification
89%
Filtering
71%
Mechanics
69%
Unknown Parameters
67%
Stochastic Processes
45%
Trajectory
41%
Wave Function
39%
Initial conditions
29%
Harmonic Potential
25%
Interpretation
25%
Period of time
21%
Estimator
21%
Minimum Variance
21%
Quantum Mechanics
18%
Systems Theory
18%
Probability Density
18%
Momentum
17%
Estimate
16%
Stochastic Differential Equations
15%
Term
9%
Theorem
7%
Physics & Astronomy
parameter identification
100%
stochastic processes
42%
trajectories
28%
estimators
25%
wave functions
18%
estimates
13%
quantum mechanics
10%
theorems
9%
differential equations
9%
momentum
8%
harmonics
8%