Complexity Reduction for the Design of Interacting Controllers

摘要

The complexity of embedded controllers in important industrial domains such as automotive and avionics is growing constantly making error-free system integration almost impossible. We address the complexity issues posed by the analysis and design of interacting controllers introducing approximation techniques that are shown to be effective on a substantial industrial test case: the control system for common-rail fuel-injection developed by Magneti Marelli Powertrain.