DEJAN Milutinović's homepage |
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My
work focuses on the control of robotic and vehicle systems in which the
influence of stochastic processes cannot be ignored and needs to be
anticipated, for example, the presence of stochastic drifts,
measurement
and estimation errors and human-in-the-loop uncertainty. Stochastic
processes can also model any lack of data resulting in dynamic
uncertainty. While one may think of using stochastic models to
predict the data and
then use the predictions for control, my approach is to use stochastic processes to model possible dynamic system
evolutions and anticipate uncertainties in their control.
This multidisciplinary research is primarily focused on probabilistic models, stochastic dynamics and control with the aim of creating better robotic systems. The main challenges in pursuing this goal are in nonlinearities, multiple degrees of freedom and uncertainties. This work is applicable to robotics, autonomous systems, next generation of air transportation system (NextGen) and biomedical research. Research interest:
Stochastic
dynamical systems and statistical signal processing, multi-agent
systems/robotics, systems biology/immune system, optimal control,
hybrid and discrete event systems
Lab video:
Contact: Office:
E2-319
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