Game-Based Backstepping Design for Strict-Feedback Nonlinear Multi-Agent Systems Based on Reinforcement Learning

Engineering

• Reinforcement Learning 100%
• Agent System 100%
• Nonlinear Feedback 100%
• Simulation Result 50%
• Reference Signal 50%
• Non-Linear Dynamics 50%
• Sufficient Condition 50%
• Value Function 50%
• Equilibrium Point 50%
• Saddle Point 50%
• Policy Iteration 50%
• Error Term 50%