A comparison of least squares algorithms for estimating Markov parameters.
Matthew S. FledderjohnMatthew S. HölzelHarish J. Palanthandalam-MadapusiRobert J. FuentesDennis S. BernsteinPublished in: ACC (2010)
Keyphrases
- least squares
- learning algorithm
- optimization problems
- parameter estimation
- computational efficiency
- parameter tuning
- orders of magnitude
- semi markov
- maximum likelihood
- benchmark datasets
- times faster
- parameter choices
- free parameters
- estimation process
- robust estimation
- convergence rate
- worst case
- motion estimation
- hidden markov models