By Topic

Optimization of signal processing software for control system implementation

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

2 Author(s)
Bhattacharyya, S.S. ; Department of Electrical and Computer Engineering, and Institute for Advanced Computer Studies, University of Maryland, College Park, 20742, USA ; Levine, W.S.

Signal processing plays a fundamental role in the design of control systems — the portion of a digitally-implemented control system between the sensor outputs and the actuator inputs is precisely a digital signal processor (DSP). Consequently, effective techniques for design and optimization of signal processing software are important in achieving efficient controller implementations. Motivated by these relationships, this paper reviews techniques for modeling signal processing functionality in a manner that exposes aspects of application structure that are useful for mapping the functionality into efficient implementations. The paper then introduces some representative techniques that operate on such models to systematically derive optimized implementations from them.

Published in:

Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006 IEEE

Date of Conference:

4-6 Oct. 2006