16-bit vs. 32-bit instructions for pipelined microprocessors
ISCA '93 Proceedings of the 20th annual international symposium on computer architecture
Fuzzy Logic in Knowledge-Based Systems, Decision and Control
Fuzzy Logic in Knowledge-Based Systems, Decision and Control
Design of an analog CMOS fuzzy logic controller chip
Fuzzy Sets and Systems - Fuzzy systems
Implementation of Nonlinear Fuzzy Models Using Microcontrollers
AFSS '02 Proceedings of the 2002 AFSS International Conference on Fuzzy Systems. Calcutta: Advances in Soft Computing
Computationally efficient active rule detection method: Algorithm and architecture
Fuzzy Sets and Systems
D-FLER: a distributed fuzzy logic engine for rule-based wireless sensor networks
UCS'07 Proceedings of the 4th international conference on Ubiquitous computing systems
Robotics and Autonomous Systems
A novel programmable CMOS fuzzifiers using voltage-to-current converter circuit
Advances in Fuzzy Systems - Special issue on High Performance Fuzzy Systems for Real World Problems
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We present a 16 bit microcontroller with hardware support for fuzzy logic. We show that special support both at the instruction level and at the micro-architecture level allows a remarkable speed up for fuzzy logic control algorithms. The fuzzy logic support has been concurrently studied at the hardware and software level to reach a synergy by the codesign approach. Moreover we propose a template for fuzzy control applications specifically studied to reduce the memory accesses during the algorithm execution. All these resorts lead to a speed-up factor of more than two in fuzzy logic computation. The microcontroller has also been designed for executing typical control applications and has been tested on traditional benchmarks. All the design cycle has constantly aimed to optimize the cost performance trade-off to define a cost effective architecture that can be applied in a large spectrum of applications.