A parameter adaptive framework combining LQR and robust control with RLS, GPR, and Bayesian optimization is claimed to improve autonomous vehicle tracking accuracy and yaw stability in simulation.
Tuning of digital pid controllers using particle swarm optimization algorithm for a can-based dc motor subject to stochastic delays,
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A Parameter Adaptive Trajectory Tracking and Motion Control Framework for Autonomous Vehicle
A parameter adaptive framework combining LQR and robust control with RLS, GPR, and Bayesian optimization is claimed to improve autonomous vehicle tracking accuracy and yaw stability in simulation.