Distributed control of networked large-scale systems based on a scheduling middleware

This paper investigates event-triggered distributed control of networked large-scale systems under simultaneous consideration of network dynamics. Based on an information dispatching middleware, a framework of networked distributed large-scale systems is established. In terms of the middleware, the information selection module is developed to regulate the transmission of the sampled data by means of a novel event-triggered scheme. In the congestion avoidance module, a real-time scheduling strategy is proposed such that the released sampled output measurement data is transmitted within the allowable transmission network-induced delay. By employing Lyapunov-Krasovskii functional theory, sufficient conditions are derived such that the large-scale distributed system can achieve a prescribed H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> performance. Then the suitable distributed controllers and network congestion controllers can be co-designed provided that a set of linear matrix inequalities is feasible. Finally, an example is given to illustrate the merits and effectiveness of the proposed method.