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A symbolic approach to distributed control of interconnected systems

This paper addresses a symbolic and abstraction- based approach to distributed control design for interconnected systems. While numerous methods to design distributed control laws already exist, the key feature of the proposed approach is that controller synthesis is based on local distributed sensor information from other subsystems. An effective method is developed for quantification of such partial information in an abstraction in terms of level sets of Lyapunov-like ranking functions. The results are illustrated on an interconnected three- tank system.