Applying Q-learning to designing feasible morphing UAV control system

Engineering

• Unmanned Aerial Vehicle 100%
• Control System 100%
• Q-Learning 100%
• Numerical Example 33%
• Simulation Result 33%
• Flight Condition 33%
• Optimality 33%
• Reinforcement Learning 33%
• Cost Function 33%
• Shape Change 33%
• Reference Trajectory 33%
• Control Function 33%

Chemical Engineering

• Reinforcement Learning 100%
• Trajectory Tracking 100%