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Real-time tracking control using modular neural chips with on-chip learning

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2 Author(s)
F. M. Salam ; Dept. of Electr. Eng., Michigan State Univ., East Lansing, MI, USA ; Hwa-Joon Oh

We employ a modular analog chip of a neural architecture with continuous-time learning in a real-time control of a prototype physical system. The novel control structure and the experiments demonstrate the capability of the modular chips in applications that enhance system performance and which achieve calibration in real-time. The chips represent a new class of reconfigurable real-time controllers which can self-adapt to regulate, steer, or track a given profile without explicit mathematical modeling

Published in:

Neural Networks, 1996., IEEE International Conference on  (Volume:2 )

Date of Conference:

3-6 Jun 1996