KEYWORDS: Fuzzy logic, Very large scale integration, Control systems, Logic, Photonic integrated circuits, Algorithms, Platinum, Neural networks, Electroluminescence, Fuzzy systems
A general-purpose fuzzy logic inference engine for real time control applications has been designed, the core of which is based on a modified reduced symmetric fuzzy singleton set (MRSFSS) structure combining the advantages of small fuzzy memory for a maximum storing capacity of 730 rule-base. The MRSFSS structure can provide up to three input variables, a maximum of nine membership functions for each input variable, and produces two output values. The innovation of FLC chip is the definition feature of the MRSFSS structure which alleviates the drawbacks of existing fuzzy inference engine and enables the entire FLC chip to be performed on a 1.2 micrometer CMOS VLSI single chip. Although the hardware of FLC engine is simplified, the structure itself can incorporate a wide class of applications since many systematic and heuristic approaches can be cast into the MRSFSS structure with an even more simplified approach and most equal performances. Moreover, a guide tour is provided through the aspects of generating the fuzzy IF-THEN rules, based on a proposed architecture for controlling a wide class of objects whose dynamics are approximated by first- order and second-order transfer functions.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
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.