I General Introduction to Iterative Learning Control. - A Brief History of Iterative Learning Control. - The Frontiers of Iterative Learning Control. - II Property Analysis of Iterative Learning Control. - Robustness and Convergence of A PD-type Iterative Learning Controller. - Ability of Learning Comes from Passivity and Dissipativity of System Dynamics. - On the Iterative Learning Control of Sampled-Data Systems. - High-order Iterative Learning Control of Discrete-time Nonlinear Systems Using Current Iteration Tracking Error. - III The Design Issues of Iterative Learning Control. - Designing Iterative Learning and Repetitive Controllers. - Design of an ILC for Linear Systems with Time-Delay and Initial State Error. - Design of Quadratic Criterion-based Iterative Learning Control. - Robust ILC with Current Feedback for Uncertain Linear Systems. - IV Integration of Iterative Learning Control with other Intelligent Controls. - Model Reference Learning Control with a Wavelet Network. - Neural-based Iterative Learning Control. - Adaptive Learning Control of Robotic Systems and Its Extension to a Class of Nonlinear Systems. - Direct Learning Control of Non-uniform Trajectories. - System Identification and Learning Control. - V Implementations of Iterative Learning Control Method. - Model-Based Predictive Control Combined with Iterative Learning for Batch or Repetitive Processe. - Iterative Learning Control with Non-Standard Assumptions Applied to the Control of Gas-Metal Arc Welding. - Robust Control of Functional Neuromuscular Stimulation System by Discrete-time Iterative Learning. - About the Editors. Language: English