DocumentCode
1744257
Title
Online control optimization using load driven scheduling
Author
Sha, Lui ; Liu, Xue ; Caccamo, Marco ; Buttazzo, Giorgio
Author_Institution
Illinois Univ., Urbana, IL, USA
Volume
5
fYear
2000
fDate
2000
Firstpage
4877
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
Conference_Location
Sydney, NSW
ISSN
0191-2216
Print_ISBN
0-7803-6638-7
Type
conf
DOI
10.1109/CDC.2001.914703
Filename
914703
Link To Document