内容简介：

Formations of mobile agents, including unmanned airborne vehicles, may often be used to localize objects in the environment, and many control problems arise. For example, often, such formations should take up a particular shape. What needs to be measured and what needs to be controlled to maintain a prescribed shape? Can control be distributed, i.e. can one arrange for each agent just to observe its neighbors and act appropriately, and yet have the whole formation behave correctly? How can a desired shape be established? What is the effect of noise distorting the measurements? How can an entire formation shape be preserved while the formation translates from A to B? The resolution of these questions draws ideas from diverse mathematical subfields, including graph theory, dynamical systems, Riemannian manifolds and Morse theory. The lecture will illustrate a number of these problems, particularly the mathematical tools involved in resolving them.

报告人简介：

Brian D. O Anderson (M’66-SM’74-F’75-LF’07) was born in Sydney, Australia, and educated at Sydney University in mathematics and electrical engineering, with PhD in electrical engineering from Stanford University in 1966.   He is an Emeritus Professor at the Australian National University, and Distinguished Researcher in Data61-CSIRO (previously NICTA) and Distinguished Professor at Hangzhou Dianzi University. His awards include the IEEE Control Systems Award of 1997, the 2001 IEEE James H Mulligan, Jr Education Medal, and the Bode Prize of the IEEE Control System Society in 1992, as well as several IEEE and other best paper prizes. He is a Fellow of the Australian Academy of Science, the Australian Academy of Technological Sciences and Engineering, the Royal Society, and a foreign member of the US National Academy of Engineering. He holds honorary doctorates from a number of universities, including Université Catholique de Louvain, Belgium, and ETH, Zürich. He is a past president of the International Federation of Automatic Control and the Australian Academy of Science. His current research interests are in distributed control, sensor networks and econometric modelling.
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