This field focuses on the application of advanced computer and mathematical techniques to the problem of analysis and control of complex, uncertain dynamical systems in real time. Consider, for example, the closed loop control of multiple robot arms in a changing environment. The intent is for the arms to cooperate in the performance of some complex task. The need for good planning and control for nominal performance as well as proper emergency capability also complicates the design problem. The system must operate properly in a wide range of operating modes.
Similar issues arise in biomedical control problems and aerospace guidance and control problems.
All of these designs require fusion of a complicated suite of sensors, computers, and problem dynamics into one integrated system. Again, the wide range of events to which the system is subject create an environment in which the controller must adapt itself to its perception of the operational conditions. Faculty in the systems science group are involved in virtually all aspects of the field. Typically, advanced mathematical and computational techniques play the fundamental role in this work. In summary, the group is interested primarily in the study of intelligent systems.