Probabilistic Constrained MPC for Multiplicative and Additive Stochastic Uncertainty.
Mark CannonBasil KouvaritakisXingjian WuPublished in: IEEE Trans. Autom. Control. (2009)
Keyphrases
- uncertain data
- stochastic nature
- probability theory
- decision theory
- stochastic context free grammars
- conditional probabilities
- handling uncertainty
- probabilistic model
- data driven
- probability measures
- bayesian networks
- generative model
- stochastic simulation
- reasoning under uncertainty
- dynamic model
- forward and backward
- stochastic optimization
- probabilistic logic
- probabilistic knowledge
- stochastic process
- possibility theory
- stochastic model
- probabilistic reasoning
- closed loop
- monte carlo
- search algorithm
- inference process
- posterior probability
- probability distribution
- decision making
- artificial intelligence
- real time