Lyapunov-Based Real-Time and Iterative Adjustment of Deep Neural Networks

Keyphrases

• Lyapunov-based 100%
• Deep Neural Network 100%
• Real-time Adjustment 100%
• Iterative Adjustment 100%
• Adaptive Law 50%
• Output Layer 33%
• Inner Layer 33%
• Control Efficacy 33%
• Numerical Simulation 16%
• Parameter Uncertainty 16%
• Unsupervised Learning Algorithm 16%
• Time Feedback 16%
• Neural Network Control 16%
• Control Architecture 16%
• Nonlinear Dynamical Systems 16%
• Affine 16%
• Linear Systems 16%
• Increased Performance 16%
• Simulation Example 16%
• Real-time Controller 16%
• Model Reference Adaptive System 16%
• Uncertain Nonlinear 16%
• Uncertain Nonlinear Systems 16%
• Nonsmooth 16%
• Lyapunov Methods 16%
• Desired Trajectory 16%
• Semi-global 16%
• Global Asymptotic Tracking 16%
• Levenberg-Marquardt Algorithm 16%
• Dynamic Uncertainty 16%
• Drift Dynamics 16%
• Supervised Learning Algorithms 16%
• Real-time Adaptation 16%
• General Controls 16%
• Deep Model 16%
• Real-time Deep Neural Network 16%
• Guaranteed Tracking Performance 16%
• Drift Control 16%
• Drift Parameter 16%
• Unknown Drift Dynamics 16%

Computer Science

• Deep Neural Network 100%
• Adaptation Law 42%
• Learning Algorithm 28%
• Adaptive Control Systems 28%
• Collected Data 14%
• Unsupervised Learning 14%
• Linear Systems 14%
• Parameter Uncertainty 14%
• Neural Network Model 14%
• Numerical Simulation 14%
• Simulation Example 14%
• Dynamical System 14%
• Levenberg Marquardt 14%
• Uncertain Nonlinear Systems 14%
• Reference Model 14%
• Desired Trajectory 14%
• Supervised Learning 14%

Engineering

• Deep Neural Network 100%
• Adaptive Control 28%
• Learning Algorithm 28%
• Output Layer 28%
• Desired Time 28%
• Responsiveness 14%
• Nonlinear System 14%
• Computer Simulation 14%
• Network Model 14%
• Collected Data 14%
• Parameter Uncertainty 14%
• Control Architecture 14%
• Levenberg-Marquardt Algorithm 14%
• Simulation Example 14%
• Reference Model 14%
• Asymptotic Tracking 14%