Convergence of the iterative algorithm for a general Hammerstein system identification.
Er-Wei BaiKang LiPublished in: Autom. (2010)
Keyphrases
- dynamic programming
- convergence rate
- computational cost
- learning algorithm
- preprocessing
- convergence proof
- optimization algorithm
- worst case
- iterative algorithms
- times faster
- optimal solution
- iterative process
- k means
- input data
- theoretical analysis
- theoretical justification
- matching algorithm
- significant improvement
- improved algorithm
- faster convergence
- convergence property
- weight update
- decision directed
- segmentation algorithm
- np hard
- cost function
- special case
- computational complexity