Iterative Learning Control Systems
Description: This cluster of papers focuses on Iterative Learning Control (ILC) and its applications in engineering practice. It covers topics such as repetitive control, model-free adaptive control, data-driven control, motion control, robotic systems, feed drive systems, batch processes, nonlinear systems, and convergence analysis.
Characteristic keywords: iterative learning control, repetitive control, periodic disturbance rejection, tracking error convergence, adaptive iterative learning control, repetitive processes, periodic reference tracking, repetitive learning control, composite energy function, 2D systems, linear repetitive processes, discrete linear repetitive processes, repetitive systems, periodic signal tracking, P-type ILC, periodic disturbance compensation, initial state error, perfect tracking, iterative feedback tuning, periodic reference signals, iterative control, norm optimal control, repetitive controller, periodic trajectory tracking, periodic disturbance suppression
Sibling topics: Adaptive Control of Nonlinear Systems, Stability and Control of Uncertain Systems, Machine Fault Diagnosis Techniques, Microgrid Control and Optimization, Traffic control and management, Robotic Mechanisms and Dynamics, Robot Manipulation and Learning, Advanced Control Systems Optimization, Fault Detection and Control Systems, Smart Grid Security and Resilience, Power Systems Fault Detection, Process Optimization and Integration, Advanced Control Systems Design, Stability and Controllability of Differential Equations, Control Systems and Identification, Dynamics and Control of Mechanical Systems, Piezoelectric Actuators and Control, Magnetic Bearings and Levitation Dynamics, Control and Dynamics of Mobile Robots, Pulsed Power Technology Applications, Systems Engineering Methodologies and Applications, Vibration and Dynamic Analysis, Human Motion and Animation, Optimization and Mathematical Programming, Control and Stability of Dynamical Systems, Thermal Analysis in Power Transmission, Real-time simulation and control systems, Military Strategy and Technology, Embedded Systems and FPGA Design, Mining Techniques and Economics, Engineering and Test Systems, Industrial Automation and Control Systems, Robotics and Automated Systems, Wireless Sensor Networks and IoT, Advanced Algorithms and Applications, Aerospace Engineering and Applications, Elevator Systems and Control, Extremum Seeking Control Systems, Advanced Sensor and Control Systems, Simulation and Modeling Applications, Advanced Research in Systems and Signal Processing, Advanced Data Processing Techniques, Industrial Technology and Control Systems
Parent subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
OpenAlex ID: T11749