Safe Chance-constrained Model Predictive Control under Gaussian Mixture Model Uncertainty.
Kai RenColin ChenHyeontae SungHeejin AhnIan M. MitchellMaryam KamgarpourPublished in: CoRR (2024)
Keyphrases
- gaussian mixture model
- chance constrained
- robust optimization
- model predictive control
- chance constraints
- stochastic programming
- mixture model
- control system
- predictive control
- em algorithm
- feature vectors
- mathematical programming
- maximum likelihood
- computationally tractable
- feature space
- decision theory
- expectation maximization
- knapsack problem
- multistage
- reverse logistics
- lot sizing
- data mining
- dynamical systems
- multiple models
- semidefinite programming
- decision makers
- computational intelligence
- probabilistic model
- active learning
- learning algorithm