By Topic

Design and analysis of hybrid scheduling algorithm for messages and tasks in networked control systems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Liu Huai ; Sch. of Electr. & Electron. Eng., Nanjing Normal Univ., Nanjing, China ; Lin Qiushi ; Huang Jianxin

Loop tasks in networked control systems consist of message tasks and control tasks that run on different resources (network and processors) and must be executed in certain order. Therefore, the execution order of message tasks and control task of a loop task is guaranteed by setting their different deadlines and arrival times. Local scheduling algorithms are adopted to schedule the tasks on every resource. The method for setting subtasks deadlines of loop tasks is presented and particle swarm optimization (PSO) algorithm is applied to optimize deadlines of control tasks. Then heuristic algorithm for assigning control tasks to processors is given and the algorithm for acquiring minimal processor number is investigated. Finally, the maximal utilization that the network can reach is analyzed and the algorithm for acquiring maximal network utilization is presented. Simulation results show that the scheduling algorithm and the PSO algorithm are effective.

Published in:

Control Conference (CCC), 2010 29th Chinese

Date of Conference:

29-31 July 2010