Minimax Q-learning design for H _∞ control of linear discrete-time systems

Engineering

• Admissible Control 16%
• Discrete-Time Systems 100%
• Effective Approach 16%
• Electrical Power System 16%
• Excitation Condition 33%
• Generated Sample 16%
• Iteration Algorithm 16%
• Newton's Method 16%
• Optimal Control 16%
• Policy Iteration 16%
• Q-Learning 100%
• Reinforcement Learning 16%
• Riccati Equation 33%
• Simulation Result 16%