Complex dynamical systems

Tuesday, October 6, 2015 - 1:25pm - 2:25pm
Mihailo Jovanovic (University of Minnesota, Twin Cities)
We study the problem of completing partially known state statistics of
complex dynamical systems using low-complexity linearized models. State
statistics of linear systems satisfy certain structural constraints that
arise from the underlying dynamics and the directionality of input
disturbances. The dynamical interaction between state variables is known
while the directionality of input excitation is uncertain. Thus, the goal
of the inverse problem that we formulate is to identify the dynamics and
Wednesday, November 9, 2005 - 11:00am - 12:00pm
John Sidles (University of Washington)
Complex systems are ubiquitous in mathematics, biology,
engineering, and
physics, and the past ten years have witnessed an exponential
increase in
the literature associated such systems. A shared conceptual
framework is
becoming apparent among challenges as seemingly different as the
the search by mathematicians for exact high-order trigonometric
the search by engineers for stable control systems, the search by
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