Fuzzy logic is a modeling method well suited for the control of complex and non-linear systems. This paper illustrates some of the power of fuzzy logic through a simple control example. For the analytical chemist, fuzzy logic incorporates imprecision from measurement noise as well as from linguistic process descriptions to produce operational control systems.
G. Hayward and V. Davidson, Analyst, 2003, 128, 1304 DOI: 10.1039/B312701J
To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.
If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.
If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.
Read more about how to correctly acknowledge RSC content.
Please wait while we load your content...
