Towards Computational Resources-Aware Control Solutions for Automotive CPS
pdf
Automotive cyber-physical systems will need to address self-parking, advanced steering control, hazardous situation recovery, limited autonomous driving, and even more complex tasks in the coming decades. Verification of the safe behavior of these tasks for multiple vehicle configurations (weight, wheelbase, front/rear/all-wheel drive, etc.) will require significant advancements in the computational theory, as well as new approaches to compose behaviors and computational constraints with hybrid control theory and system modeling. This position paper addresses the hybrid nature of controllers for such systems, from the perspective of tradeoffs in computational burden versus desired robustness.
Submitted by Katie Dey
on
pdf
Automotive cyber-physical systems will need to address self-parking, advanced steering control, hazardous situation recovery, limited autonomous driving, and even more complex tasks in the coming decades. Verification of the safe behavior of these tasks for multiple vehicle configurations (weight, wheelbase, front/rear/all-wheel drive, etc.) will require significant advancements in the computational theory, as well as new approaches to compose behaviors and computational constraints with hybrid control theory and system modeling. This position paper addresses the hybrid nature of controllers for such systems, from the perspective of tradeoffs in computational burden versus desired robustness.
Submitted by Katie Dey
on