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A Nonlinear Scheme for Parameter Estimation in Linear Systems
R. S. Brownell
*
,
A. H. Haddad
*
Corresponding author for this work
Electrical and Computer Engineering
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Computer Science
Algorithms
100%
Linear System
100%
Parameter Estimation
100%
Approximation (Algorithm)
100%
System Dynamic
50%
Unknown Parameter
50%
Digital System
50%
Taylor Series Expansion
50%
Gaussian White Noise
50%
Likelihood Estimate
50%
maximum-likelihood
50%
Mathematics
Nonlinear
100%
Linear System
100%
Parameter Estimation
100%
Algorithm
100%
Approximation
100%
Gaussian
50%
Series Expansion
50%
Maximum Likelihood Estimate
50%
Taylor Series
50%
Parameters
50%
INIS
algorithms
100%
nonlinear problems
100%
approximations
100%
dynamics
50%
equations
50%
noise
50%
maximum-likelihood fit
50%
series expansion
50%
digital systems
50%
Engineering
Algorithm
100%
Maximum Likelihood Estimate
50%
Recursive
50%
Gaussian White Noise
50%
Taylor Series Expansion
50%
Estimation
50%
Driven System
50%
Digital System
50%
Physics
Linear Systems
100%
Approximation
100%
Random Noise
50%
Digital Systems
50%
Parameter
50%
Expansion
50%