State estimation of nonlinear dynamic systems using weighted variance-based adaptive particle swarm optimization.
Maryam KianiSeid H. PourtakdoustPublished in: Appl. Soft Comput. (2015)
Keyphrases
- state estimation
- adaptive particle swarm optimization
- nonlinear dynamic systems
- kalman filter
- underwater acoustic
- recurrent neural networks
- nonlinear systems
- particle filter
- kalman filtering
- neural network
- dynamic systems
- artificial neural networks
- visual tracking
- pso algorithm
- particle filtering
- blind source separation
- object tracking
- mean shift
- non stationary
- graph cuts
- sensor networks
- pattern recognition
- search algorithm