Document Type
Article
Publication Date
2001
Publication Title
IEEE Transactions on Systems, Man, and Cybernetics Part C
Volume
31
Issue
2
First page number:
261
Last page number:
265
Abstract
Presents intelligent feedback control techniques for adaptive resource management in asynchronous, decentralized real-time systems. We propose adaptive resource management techniques that are based on feedback control theory and are designed using the intelligent control design paradigm. The controllers solve resource allocation problems that arise during run-time adaptation using the classic proportional-integral-derivative (PID) control functions and fuzzy logic. We study the performance of the controllers through simulation. The simulation results indicate that the controllers produce low missed deadline ratios and resource utilizations during high-workload situations.
Keywords
Adaptive resource management; Asynchronous decentralized systems; Automatic control; Feedback control; Feedback control systems; Fuzzy logic; Fuzzy systems; Intelligent control systems; Real-time data processing; Real-time control; Real-time systems
Repository Citation
Ravindran, B.,
Kachroo, P.,
Hegazy, T.
(2001).
Intelligent Feedback Control-based Adaptive Resource Management for Asynchronous, Decentralized Real-time Systems.
IEEE Transactions on Systems, Man, and Cybernetics Part C, 31(2),
261-265.
https://digitalscholarship.unlv.edu/ece_fac_articles/49
Comments
©2001 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.