Multivariable structure of fuzzy control systems
IEEE Transactions on Systems, Man and Cybernetics
High-speed fuzzy controller hardware system: the Mega-FIPS machine
Information Sciences: an International Journal - Application of Fuzzy Set Theory
Systolic VLSI array for multi-variable fuzzy control systems
Cybernetics and Systems
Fuzzy systems theory and its applications
Fuzzy systems theory and its applications
Advanced fuzzy logic control of a model car in extreme situations
Fuzzy Sets and Systems
Communications of the ACM
Special-purpose architectures for fuzzy logic controllers
Microprocessing and Microprogramming
Fuzzy Control and Fuzzy Systems
Fuzzy Control and Fuzzy Systems
Industrial Applications of Fuzzy Logic and Intelligent Systems
Industrial Applications of Fuzzy Logic and Intelligent Systems
Expert System Hardware for Fault Detection
Applied Intelligence
A General-Purpose Fuzzy Inference Processor
IEEE Micro
Fuzzy Inference on an Analog Fuzzy Chip
IEEE Micro
Dedicated Digital Fuzzy Hardware
IEEE Micro
Designing for Parallel Fuzzy Computing
IEEE Micro
Implementing Fuzzy Rule-Based Systems on Silicon Chips
IEEE Expert: Intelligent Systems and Their Applications
Implementation of CMOS fuzzy controllers as mixed-signal integrated circuits
IEEE Transactions on Fuzzy Systems
Computationally efficient active rule detection method: Algorithm and architecture
Fuzzy Sets and Systems
Design of very high-speed integer fuzzy controller without multiplications by using VHDL
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
A multi-context processor for real-time concurrent tasks fuzzy reasoning
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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This article describes a pipeline sequential fuzzy controller endowed with great flexibility and high performance. Its design allows for the possibility to implement it on programmable devices at low cost. To optimise the design and performance of the circuit, a number of simplifications over traditional fuzzy algorithms are pointed out. For the manipulation of simplification procedures, some software tools of knowledge acquisition and compilation have been developed. The hardware design is presented at a level of block diagram showing the different components and the solutions adopted in each case. The characteristics of this design make it adequate for working with a great number of input and output variables and with a high number of rules. Under these conditions, the speed of calculation and the circuit dimensions are optimal. It can be used in any field of application where a fuzzy control of high complexity is to be established.