Huge traffic congestion after recent incidents (such as the bomb alerts in the tunnels in Amsterdam, or at the IKEA stores), or the problems in the US, The Netherlands, and Italy due to power outages have shown the crucial role of a reliable operation of traffic and transportation systems, electricity distribution networks, and other large-scale complex systems that are one of the corner-stones of our modern society such as water distribution, logistic operations, and telecommunication networks. A reliable and efficient operation of these systems is not only of paramount importance when the systems are pressed to the limits of their performance, but also under regular operating conditions. The systems mentioned above can be modeled as hybrid systems, i.e., systems with both continuous and discrete dynamics. A smooth, efficient and safe operation of these systems is of paramount importance for the economic growth, the environment, and the quality of life.
Up to now, most control methods for hybrid systems are based on a centralized control paradigm and/or on ad-hoc techniques. However, centralized control of large-scale systems is often not feasible in practice due to computational complexity, communication overhead, and lack of scalability. Furthermore, a structured control design method is also lacking. Therefore, we propose to develop a structured and tractable design methodology for robust control of large-scale hybrid systems.
In this project we will develop both the necessary new theory and a corresponding design framework for control of large-scale hybrid systems using an approach based on:
In addition to performing fundamental research on control of large-scale hybrid systems, we will concentrate on three specific application fields: traffic & transportation, electricity distribution, and logistics.
Next: Model predictive control for discrete-event Up: Controller design Previous: Discrete-time sliding mode control
Last modified: 24 March 2005, 10:16 UTC
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