Monotonic convergence of iterative learning control for uncertain systems using a time-varying filter

Keyphrases

• Convergence Condition 33%
• Cost Performance 33%
• Discrete-time 33%
• Frequency Uncertainty 33%
• Iterative Learning Control 100%
• Learning Control 33%
• Learning Control Systems 33%
• Learning Techniques 33%
• Learning Transient 33%
• Linear Time Invariant 66%
• Model Uncertainty 33%
• Monotonic Convergence 100%
• Multiple-input multiple-output System 33%
• Plant Dynamics 33%
• Precision Motion Control 33%
• Q-filter 100%
• Robust Monotonic Convergence 33%
• System Performance 33%
• Time-domain Representation 33%
• Time-varying Filter 100%
• Transient Behavior 33%
• Transient Growth 33%
• Uncertain Systems 100%

Engineering

• Control Systems 33%
• Discrete Time 33%
• Domain Representation 33%
• Frequency Domain 33%
• Iterative Learning Control 100%
• Learning Control 33%
• Learning Technique 33%
• Linear Time 33%
• Linear Time Invariant 33%
• Model Uncertainty 33%
• Motion Control 33%
• Output System 33%
• Single Output 33%
• Tasks 33%
• Time Domain 33%
• Transients 66%