Title :
Online control optimization using load driven scheduling
Author :
Sha, Lui ; Liu, Xue ; Caccamo, Marco ; Buttazzo, Giorgio
Author_Institution :
Illinois Univ., Urbana, IL, USA
Abstract :
In many real-time control applications, the task periods are typically fixed and worst-case execution times are used in schedulability analysis. With the advancement of robotics, flexible visual sensing using cameras becomes a popular alternative to the use of embedded sensors. However, the execution time of visual tracking varies greatly. In this paper, we integrate load driven online scheduling with direct digital designs to optimize the control performance as a function of varying workload
Keywords :
discrete time systems; optical tracking; optimal control; optimisation; real-time systems; scheduling; stability; time-varying systems; discrete time systems; load driven scheduling; optimal control; optimization; real-time control; schedulability; stability; time varying systems; visual tracking; Cameras; Control systems; Design optimization; Frequency; Laboratories; Performance analysis; Performance loss; Robot sensing systems; Robot vision systems; Sampling methods;
Conference_Titel :
Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6638-7
DOI :
10.1109/CDC.2001.914703
