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RAT iLQR: A Risk Auto-Tuning Controller to Optimally Account for Stochastic Model Mismatch.
Haruki Nishimura
Negar Mehr
Adrien Gaidon
Mac Schwager
Published in:
IEEE Robotics Autom. Lett. (2021)
Keyphrases
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stochastic model
stochastic models
stochastic process
control system
real time
market demand
risk assessment
decision making
optimal control
risk management
closed loop
control architecture
fine tuned
control algorithm
fine tuning
neural network
fuzzy controller
risk factors
high risk
steady state
fluid model