  We investigate the State-Controlled Cellular Neural Network (SC-CNN)
framework of Murali-Lakshmanan-Chua (MLC) circuit system subjected to two
logical signals. By exploiting the attractors generated by this circuit in
different regions of phase-space, we show that the nonlinear circuit is capable
of producing all the logic gates, namely OR, AND, NOR, NAND, Ex-OR and Ex-NOR
gates available in digital systems. Further the circuit system emulates
three-input gates and Set-Reset flip-flop logic as well. Moreover, all these
logical elements and flip-flop are found to be tolerant to noise. These
phenomena are also experimentally demonstrated. Thus our investigation to
realize all logic gates and memory latch in a nonlinear circuit system paves
the way to replace or complement the existing technology with a limited number
of hardware.
