A stochastic programming approach for the Bayesian experimental design of nonlinear systems.
José M. Laínez-AguirreLinas MockusGintaras V. ReklaitisPublished in: Comput. Chem. Eng. (2015)
Keyphrases
- experimental design
- nonlinear systems
- stochastic programming
- multistage
- linear program
- adaptive control
- control law
- fuzzy control
- learning rate
- active learning
- fuzzy model
- sample size
- empirical studies
- fuzzy systems
- robust optimization
- fuzzy controller
- feature selection
- control system
- input output
- optimal policy
- linear programming
- pattern recognition