An algorithm for RLS identification parameters that vary quickly with time.
James E. BobrowWalter MurrayPublished in: IEEE Trans. Autom. Control. (1993)
Keyphrases
- learning algorithm
- expectation maximization
- experimental evaluation
- recursive least squares
- parameter settings
- matching algorithm
- parameter tuning
- control parameters
- probabilistic model
- preprocessing
- cost function
- dynamic programming
- detection algorithm
- computational complexity
- high accuracy
- np hard
- times faster
- optimal solution
- neural network
- linear programming
- fine tuning
- computational cost
- maximum likelihood estimation
- levenberg marquardt
- neuro fuzzy
- parameter selection
- input data
- convergence rate
- parameter space
- kalman filter
- theoretical analysis
- particle swarm optimization
- worst case
- significant improvement
- k means
- artificial neural networks
- genetic algorithm