The work presents an efficient sparse GP-MPC framework with closed-form moment matching for mean and variance under uncertainty, recast as QPs for quadcopter control.
Efficient implementation of gaussian process–based predictive control by quadratic programming
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Efficient sparse GP-MPC with accurate mean and variance propagation applied for quadcopter flight control
The work presents an efficient sparse GP-MPC framework with closed-form moment matching for mean and variance under uncertainty, recast as QPs for quadcopter control.