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Development of Fuzzy Logic and Neural Network Control and Advanced Emissions Modeling
This report describes the development of new control strategies and models for Hybrid Electric Vehicles (HEV) by the Ohio-State University, on a contract with the National Renewable Energy Laboratory (NREL), Golden, CO.
preview:
http://www.nrel.gov
date: 12/1/2003
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Fuzzy Anti-Lock Brake System Solution
This paper will focus on using the Intel 8XC196Kx product family, as the ECU, to implement a fuzzy logic control algorithm for use in an ABS system.
preview:
http://developer.intel.com
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paper
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Fuzzy Application Library/Technical Applications/Fuzzy Logic Design
When Lotfi Zadeh introduced the world to fuzzy logic in 1965, he forgot to include, or rather was unprepared to include a user's manual.
Though he created fuzzy logic as a mathematical discipline that would allow designers create systems directly from human intuition and experience, the practice of actually applying it has for many years been a rather trial and error, arbitrary art.
preview:
http://www.fuzzytech.com
date: 7/1/1996
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Fuzzy Application Library/Technical Applications/Motorola 68HC12 MCU
This paper presents a demonstration model that demonstrates the usage of fuzzy logic on a Motorola microcontroller (MCU). The 68HC12 MCU was introduced in Q3/1996 by Motorola as a successor to the 68HC11 MCU, one of the most widely used microcontrollers in the world.
The HC12 has been enhanced in a number of ways over the HC11 and is the world's first standard MCU that includes a complete fuzzy logic instruction set.
preview:
http://www.fuzzytech.com
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Fuzzy Logic in Embedded Systems
There is a clear lack of basic tutorial materials for fuzzy logic.
I decided that I did have enough material to create a reasonable tutorial for those beginning to explore the possibilities of fuzzy logic.
In addition to the material presented at the embedded systems conference I have added additional chapters.
1993 paper.
preview:
http://www.bytecraft.com
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Introduction to fuzzy control
Most control systems are based on proportional integral derivative (PID) technology ('Closed-Loop Control,' August 2002, p. 55). Some systems, however, require a more complex control.
For such systems, one option is fuzzy control.
preview:
http://academic.csuohio.edu
date: 6/19/2003
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On Designing Mixed-Signal Programmable Fuzzy Logic Controllers
A digitally - programmable analogue Fuzzy Logic Controller (FLC) is presented.
Input and output signals are processed in the analog domain whereas the parameters of the controller are stored in a built-in digital memory.
preview:
http://www.dice.ucl.ac.be
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