Switched Capacitor "Neural" Networks for Quadratic Programming

Abstract

A circuit for on-line solving of quadratic programming problems is presented. The circuit is made using switched-capacitor techniques thus being adequate for monolithic implementation. Simulation results using a mixed-mode simulator (DIANA) for CMOS implementations of different problems are included illustrating the validity of the approach. Finally, the connection between the proposed circuit and analog neural networks is also outlined.