A dynamic network is characterized by a spatially distributed set of nodes with sensors and actutors which measure and effect the dynamic system. These nodes are coordinated through the performance objectives and the possible dynamic coupling between the nodes in the presence of large uncertainties in the environment, in the observations, and through the communicatin channels between nodes. Examples of spatial networks that will be presented are: The control of a formation of aerial vehicles that reduces the total drag to approximately that of an equivalent slender wing constructured by joining together all the wings in the formation; the development of faulttolerant control systems for the intelligent vehicle highway system; and robust boundary layer control to reduce friction drag in both transitional and turbulent flows in channels and wings is obtained by a network of sheear stress sensors and actuators along the boundary. The control of dynamic networks can be viewed as esentially in its in fancy and geral procedures based on computational algorithms used for implementation is a long term goal. However, enar term goals and challenges can be posed which represent important elements of the more complete problem
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