Abstract: The present disclosure relates to novel and advantageous systems and methods of processing and managing data in critical or large-scale systems, such as airliner, automobile, space station, power plant, and healthcare systems. Particularly, the present disclosure relates to a rules-driven data and control method mapped onto complementary physical architecture for a more reliable operational system. By maintaining an algebraic encoding of control and application data at fine granularities, whether static or in transit, it is possible to detect, isolate, and correct many errors that would otherwise go undetected. This more dynamic and precise method addresses cases where deteriorating conditions or cataclysmic events affect much of the system simultaneously, including the control system itself.

Abstract: The present disclosure relates to novel and advantageous systems and methods of processing and managing data in critical or large-scale systems, such as airliner, automobile, space station, power plant, and healthcare systems. Particularly, the present disclosure relates to a rules-driven data and control method mapped onto complementary physical architecture for a more reliable operational system. By maintaining an algebraic encoding of control and application data at fine granularities, whether static or in transit, it is possible to detect, isolate, and correct many errors that would otherwise go undetected. This more dynamic and precise method addresses cases where deteriorating conditions or cataclysmic events affect much of the system simultaneously, including the control system itself.