What is it about?
The iterative data-driven algorithm uses an experiment-based solving of the optimization problems for nonlinear processes, with linear controllers accounting for actuator constraints in terms of a quadratic penalty function approach. Read More: https://arc.aiaa.org/doi/10.2514/1.I010154
Featured Image
Why is it important?
A reduced sensitivity with respect to the controller parameters is guaranteed. Read More: https://arc.aiaa.org/doi/10.2514/1.I010154
Perspectives
Several nonlinear process control applications. Read More: https://arc.aiaa.org/doi/10.2514/1.I010154
Professor Radu-Emil Precup
Politehnica University of Timisoara
Read the Original
This page is a summary of: Iterative Data-Driven Controller Tuning with Actuator Constraints and Reduced Sensitivity, Journal of Aerospace Computing Information and Communication, September 2014, American Institute of Aeronautics and Astronautics (AIAA),
DOI: 10.2514/1.i010154.
You can read the full text:
Contributors
The following have contributed to this page
