Tracking control based on recurrent neural networks for nonlinear systems with multiple inputs and unknown deadzone

Matemáticas

• Dead Zone 100%
• Tracking Control 96%
• Recurrent Neural Networks 80%
• Exponential Convergence 53%
• Nonlinear Systems 50%
• Unknown 41%
• Disturbance 29%
• Trajectory Tracking 26%
• Unmodeled Dynamics 25%
• Term 25%
• Uncertain Nonlinear Systems 25%
• Trajectory 24%
• Closed-loop 17%
• Controller 14%
• Neural Networks 14%
• Lyapunov 14%
• Continuous Time 13%
• Boundedness 12%
• Knowledge 12%
• Strategy 11%
• Singularity 11%
• Upper bound 10%
• Model 5%
• Class 4%

Ingeniería y ciencia de los materiales

• Recurrent neural networks 65%
• Nonlinear systems 53%
• Trajectories 43%
• Neural networks 12%
• Controllers 11%