Analog VLSI Stochastic Perturbative Learning Architectures
Analog Integrated Circuits and Signal Processing
A Fast Stochastic Error-Descent Algorithm for Supervised Learning and Optimization
Advances in Neural Information Processing Systems 5, [NIPS Conference]
Analog VLSI Implementation of Gradient Descent
Advances in Neural Information Processing Systems 5, [NIPS Conference]
A Parallel Gradient Descent Method for Learning in Analog VLSI Neural Networks
Advances in Neural Information Processing Systems 5, [NIPS Conference]
High-speed, model-free adaptive control using parallel synchronous detection
Proceedings of the 20th annual conference on Integrated circuits and systems design
A translinear SiGe BiCMOS current-controlled oscillator with 80 Hz---800 MHz tuning range
Analog Integrated Circuits and Signal Processing
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A SiGe BiCMOS mixed-signal adaptive controller-on-chip is presented that implements gradient descent of a supplied analog control objective. Eight analog variables controlling the external plant are perturbed in parallel using sinusoidal dithers, and their gradient components are estimated by parallel synchronous detection of the dithers in the control objective. Translinear all-NPN bipolar circuits achieve linear tuning of frequency and amplitude in the oscillators and synchronous detectors, covering a 4-kHz-600-MHz range in dither frequencies with 30-dB/octave suppression of intermodulation products. Experimental results demonstrate adaptive optimization of a three-variable nonlinear plant within 1 µs for dithers in the 100-200-MHz frequency range. The chip measures 3 mm × 3 mm in 0.5-µm SiGe and consumes 110 mW at 3.3-V supply.