Probably Approximately Correct Nonlinear Model Predictive Control (PAC-NMPC).
Adam PolevoyMarin KobilarovJoseph L. MoorePublished in: CoRR (2022)
Keyphrases
- nonlinear model predictive control
- pac learning
- image based visual servoing
- dynamic model
- sample complexity
- computationally efficient
- uniform distribution
- concept class
- learning theory
- pac model
- sample size
- visual servoing
- concept classes
- learning problems
- statistical queries
- mistake bound
- vc dimension
- learning algorithm
- classification noise
- pac learning model
- membership queries
- upper bound
- steady state
- lower bound
- generalization error
- concept learning
- computer vision
- control scheme
- real time
- noise tolerant
- fuzzy logic
- mpc algorithm
- decision support system