Designing a robust PID congestion controller supporting TCP flows based on H&#8734; optimal control theory

Li Yu; Zibo Shi; Kun Chen; Yantai Shu

doi:10.1117/12.733077

10 September 2007 Designing a robust PID congestion controller supporting TCP flows based on H∞ optimal control theory

Li Yu, Zibo Shi, Kun Chen, Yantai Shu

Author Affiliations +

Proceedings Volume 6773, Next-Generation Communication and Sensor Networks 2007; 67730K (2007) https://doi.org/10.1117/12.733077
Event: Optics East, 2007, Boston, MA, United States

Abstract

A robust PID controller for active queue management (AQM) based on modern H∞ optimal control theory is presented in this paper. Taken both robustness and closed loop performance into consideration, most desirable parameters value can be gotten through some straightforward analytical formulas. Our robust PID controller is determined only by one parameter, other than traditional PID controller is by three or more. Additionally, this new parameters determining method can not only be extended to other AQM controller based on classical control theory or optimal control theory, but also be easily understood and implementation. We evaluate the performances of the controller extensively. The results show that the robust PID congestion controller outperform the existing controller, such as PI, RED, on keeping the router queue size at the target value. The most obvious property of the controller is that it takes on robustness such that it can adapt the network dynamic.

Citation Download Citation

Li Yu, Zibo Shi, Kun Chen, and Yantai Shu "Designing a robust PID congestion controller supporting TCP flows based on H∞ optimal control theory", Proc. SPIE 6773, Next-Generation Communication and Sensor Networks 2007, 67730K (10 September 2007); https://doi.org/10.1117/12.733077

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available