a high accurate and low-voltage analog cmos current divider which operates with a single power supply voltage is designed in 0.18µm cmos standard technology. the proposed divider uses a differential amplifier and transistor in triode region in order to perform the division. the proposed divider is modeled with neural network while tlbo algorithm is used to optimize it. the proposed optimization...

Versatile dual-mode class-AB CMOS four-quadrant analog multiplier circuit is presented. The dual translinear loops and current mirrors are the basic building blocks in realization scheme. This technique provides; wide dynamic range, wide-bandwidth response and low power consumption. The major advantages of this approach are; its has single ended inputs; since its input is dual translinear loop ...

The linearity of the CMOS is of major concern in the design of many analog circuits. In this paper the nonlinearity behavior of CMOS analog integrated circuits is investigated.The basic building block of analog integrated circuits such as differential amplifier with current mirror load have been chosen for harmonic distortion analysis.A mechanism to analyze the distortion of CMOS circuits in de...

Operational amplifiers are important building blocks for analog circuit design. Unfortunately, their limited performance such as bandwidth, slew-rate etc. leads the analog designer to search other possibilites and other building blocks. As a result, new current-mode active building blocks such as operational transconductance amplifiers (OTA), second generation current conveyors (CCII), current-...

This work presents a Neuro-Fuzzy network implemented in 0.8μm CMOS analog technology. The architecture and the circuit configurations adopted are discussed. The circuit has been designed taking into account mismatch effects and Spectre simulations have been reported. An integrated circuit has been realized and is now under test. Key-Words: Neuro-Fuzzy, Analog, Mixed Signal, VLSI, Embedded Appli...

We propose an analog CMOS circuit for developing a biologically-inspired locomotion controller for a quadruped walking robot. The proposed circuit is based on the biological neural network, called the central pattern generator (CPG), that can generate rhythmic movements for locomotion of animals, such as walking, running, swimming, and flying. We constructed a CPG model from the WilsonCowan neu...

In this paper, we implement a model of an electric fish, Eigenmannia, that detects frequency differences between the individuals, on analog CMOS circuits. The circuit’s fundamental function is equivalent to a conventional CMOS frequency comparator, although less post-processing is still required. The circuit consists of Pand T-units each of which encodes amplitudes and phases of the monitored e...

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 memb...

A CMOS four-quadrant analog multiplier circuit for neural networks integrated circuit implementation is presented. By applying differential balanced current mode signals (both for the input, output and weight signals) the multiplication function is easily implemented through two translinear loops. The multiplier exhibits low power consumption (the dc current is 250 nA under a differential power...