Industrial Applications of Fuzzy Technology in the World
Industrial Applications of Fuzzy Technology in the World
Design of an analog CMOS fuzzy logic controller chip
Fuzzy Sets and Systems - Fuzzy systems
A Mixed Signal Fuzzy Controller Using Current Mode Circuits
Analog Integrated Circuits and Signal Processing
Design and application of an analog fuzzy logic controller
IEEE Transactions on Fuzzy Systems
A 12b general-purpose fuzzy logic controller chip
IEEE Transactions on Fuzzy Systems
Neuro-fuzzy chip to handle complex tasks with analog performance
IEEE Transactions on Neural Networks
Role of driver and load transistor (MOSFET) parameters on pseudo-NMOS logic design
WSEAS Transactions on Circuits and Systems
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This paper presents a new general purpose neuro-fuzzy controller to realize adaptive-network-based fuzzy inference system (ANFIS) architecture. ANFIS which tunes the fuzzy inference system with a back propagation algorithm based on collection of input-output data makes fuzzy system to learn. To implementing this idea we propose several improved CMOS analog circuits, including Gaussian-like membership function circuit, minimization circuit, and a defuzzification circuit. A two-input/one-output neuro-fuzzy system composed of these circuits is implemented. The control surfaces of controller are obtained by using ANFIS training and simulation results of integrated circuits in less than 0.045mm2 area in 0.35µm CMOS standard technology. Simulation results show that all the proposed circuits provide characteristics of high operation capacity, high speed, and simple structures. They are very suitable for rapid implementation of high-speed complex neuro-fuzzy system.