Parameter identification of dual-rate Hammerstein-Volterra nonlinear systems by the hybrid particle swarm-gradient algorithm based on the auxiliary model.
Tiancheng ZongJunhong LiGuoping LuPublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- particle swarm
- parameter identification
- optimization method
- nonlinear systems
- mathematical model
- particle swarm optimization
- objective function
- particle swarm optimization algorithm
- optimal solution
- k means
- dynamic programming
- fuzzy model
- optimization algorithm
- hybrid algorithm
- neural network
- autoregressive
- control parameters
- stability analysis
- learning algorithm
- least squares
- multi objective
- search space
- adaptive control
- differential evolution
- state variables
- linear model
- fuzzy clustering
- convergence rate
- artificial intelligence
- machine learning
- data mining