Moving-Horizon State Estimation for Nonlinear Systems Using Neural Networks.
Angelo AlessandriMarco BagliettoGiorgio BattistelliMauro GaggeroPublished in: IEEE Trans. Neural Networks (2011)
Keyphrases
- nonlinear systems
- state estimation
- neural network
- fuzzy systems
- nonlinear dynamic systems
- kalman filter
- fuzzy model
- adaptive control
- fuzzy control
- particle filter
- kalman filtering
- learning rate
- fuzzy controller
- artificial neural networks
- dynamic systems
- adaptive neural control
- pattern recognition
- moving objects
- fuzzy logic
- evolutionary computation
- particle filtering
- fuzzy rules
- input output
- computational intelligence
- soft computing
- control law
- genetic algorithm
- recurrent neural networks
- back propagation
- rule base
- control system
- reinforcement learning
- feature extraction
- image sequences
- real time