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.