Topic · Control and Systems Engineering
Iterative Learning Control Systems
Iterative Learning Control Systems is a research topic within Control and Systems Engineering. Science Explorer counts 33k research works in it since 1950. 9.8% of them reached the world's top 10% most cited for their field and year.
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.
- Iterative Learning Control
- Repetitive Control
- Model-Free Adaptive Control
- Data-Driven Control
- Motion Control
- Robotic Systems
- Feed Drive Systems
- Batch Processes
- Nonlinear Systems
- Convergence Analysis
- Research works
- 33k fractional, since 1950
- In the world top 10%
- 3.2k per year above
- Top-10% rate
- 9.8% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +23% the tick is no change
- Largest producer
China
71% of the 10 largest, 2022-now
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