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.
Automated linear parameter-varying modeling of nonlinear systems: A global embedding approach
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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.