ABSTRACT
1 This paper describes a real-time signal processing system based on an Artificial Neural Network chip, which has been developed for and tailored to non-linear control applications. The chip described, which uses Pulse Stream computation principles, has been designed and manufactured using a standard 1.5μm digital CMOS technology. The system can compute up to 140MCPS, with a Nyquist frequency of about 70kHz.
The prototype of a controller board containing one such chip has been developed and fully tested. The board can be directly interfaced to a host computer and the whole system supports neural and cognitive training algorithms. The system is currently being used to assess the performance of these algorithms for real-time control in several applications.
