Disturbance modeling and state estimation for offset-free predictive control with state-space process models.
Piotr TatjewskiPublished in: Int. J. Appl. Math. Comput. Sci. (2014)
Keyphrases
- state estimation
- process model
- predictive control
- state space
- particle filter
- process mining
- business process
- business processes
- particle filtering
- kalman filter
- dynamic behaviors
- visual tracking
- event logs
- business process models
- control scheme
- dynamic systems
- reinforcement learning
- petri net
- kalman filtering
- machine learning
- multiple models
- architectural models
- neuro fuzzy
- experimental data
- mean shift
- rough sets
- dynamic programming
- search space
- feature selection
- genetic algorithm