On-line evolvable fuzzy system for ATM cell-scheduling
Journal of Systems Architecture: the EUROMICRO Journal
Synchronous Pipeline Circuit Design for an Adaptive Neuro-fuzzy Network
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
A digital hardware architecture of self-oganizing rlationship (SOR) ntwork
ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III
An FPGA-Based adaptive fuzzy coprocessor
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
A novel VLSI architecture for a fuzzy inference processor using Gaussian-shaped membership function
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hi-index | 0.00 |
Most previous work about the hardware design of a fuzzy logic controller (FLC) intended to either improve its inference performance for real-time applications or to reduce its hardware cost. To our knowledge, there has been no attempt to design a hardware FLC that can perform an adaptive fuzzy inference for the applications of on-line adaptation. The purpose of this paper is to present such an adaptive memory-efficient FLC and its applications. Taking advantage of the adaptability provided by a symbolic fuzzy rule format and the dynamic membership function generator, as well as the high-speed integration capability afforded by VLSI, the proposed adaptive fuzzy logic controller (AFLC) can perform an adaptive fuzzy inference process using various inference parameters, such as the shape and location of a membership function, dynamically and quickly. Three examples are used to illustrate its applications, and the experimental results show the excellent adaptability provided by AFLC.