Moving-horizon state estimation for nonlinear systems using neural networks.
Angelo AlessandriMarco BagliettoGiorgio BattistelliRiccardo ZoppoliPublished in: CDC (2008)
Keyphrases
- nonlinear systems
- state estimation
- neural network
- fuzzy systems
- nonlinear dynamic systems
- kalman filter
- fuzzy model
- dynamic systems
- adaptive control
- control law
- learning rate
- kalman filtering
- particle filter
- visual tracking
- artificial neural networks
- fuzzy control
- computational intelligence
- fuzzy controller
- adaptive neural control
- evolutionary computation
- genetic algorithm
- soft computing
- pattern recognition
- back propagation
- machine learning
- fuzzy rules
- fuzzy logic
- particle filtering
- recurrent neural networks
- control algorithm
- evolutionary algorithm
- moving objects
- closed loop
- real time
- least squares
- data analysis
- power system