MPC for Sampled-Data Linear Systems: Guaranteeing Constraint Satisfaction in Continuous-Time.
Pantelis SopasakisPanagiotis PatrinosHaralambos SarimveisPublished in: IEEE Trans. Autom. Control. (2014)
Keyphrases
- constraint satisfaction
- linear systems
- sampled data
- dynamical systems
- constraint satisfaction problems
- image reconstruction
- sufficient conditions
- markov chain
- sparse linear systems
- heuristic search
- sampling methods
- closed loop
- continuous domains
- state space
- data sets
- original data
- dynamic model
- imbalanced data
- russian doll search
- super resolution
- genetic programming
- machine learning
- neural network
- reinforcement learning
- training data
- pid controller
- feature extraction
- feature selection
- real time