Exploring the trade-off between processing resources and settling time in image-based control through LQR tuning
Image-Based control systems extract information by a camera and an image processing algorithm. The challenge of such controllers is that the sensing latency deteriorates the control performance. Multi-core technology can be used to implement the sensing algorithm in a pipelined fashion. More processing resources potentially lead to better settling time. This results in a trade-off between resources and performance. We present a method to analyse this trade-off.
- Exploring the trade-off between processing resources and settling time in image-based control through LQR tuning
Róbinson Medina, Sander Stuijk, Dip Goswami and Twan Basten.
In 32nd ACM Symposium on Applied Computing, SAC 17, Proceedings, pages 1456-1459. Marrakesh, Morocco Krakow, April 3-7, 2017. ACM, 2017. (abstract, pdf, doi).