Probably Approximately Correct Nonlinear Model Predictive Control (PAC-NMPC).
Adam PolevoyMarin KobilarovJoseph L. MoorePublished in: IEEE Robotics Autom. Lett. (2023)
Keyphrases
- nonlinear model predictive control
- pac learning
- image based visual servoing
- dynamic model
- sample complexity
- concept class
- uniform distribution
- computationally efficient
- learning theory
- learning problems
- pac model
- visual servoing
- concept classes
- sample size
- mistake bound
- pac learning model
- upper bound
- vc dimension
- learning algorithm
- membership queries
- classification noise
- statistical queries
- steady state
- multiple models
- boolean functions
- mpc algorithm
- mobile robot
- decision trees
- control scheme
- concept learning
- noise tolerant
- robotic systems