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U-M MEAM CPO / Rodney Hill

“Cochlear Analogues for Engineering Acoustics”
Grosh's research brings together cochlear mechanics, engineering acoustics, and active structures into one
research project. The
performance of mammalian hearing combines remarkable transient capture and frequency filtering, with a
dynamic range that can encompass at least a million-fold change in energy. The mechanical, fluid
dynamical, and electrical functions of the cochlea are largely responsible for these specifications, which are unparalleled in man-made
mechanical systems.
Grosh's research seeks to take advantage of the known structure-function relations of this evolutionary
design for engineering acoustics. For applications ranging from sound quieting to sound sensing, the
cochlear analogue design holds great potential for improving frequency selectivity
and sensitivity.
In addition, Grosh will undertake advanced modeling of the unsteady fluid-structure interaction problem
to both provide design tools and understand phenomena. The success of this line of research will
significantly change the sound quieting (e.g., muffler) and transducer (e.g., microphone) industries.
The teaching portion of Grosh's grant involves integrating modern software, including computational,
analytic, and graphical packages, into the classroom setting and increasing industrial relevance by
introducing case studies into the classroom, stemming from both industry sponsored research projects and
industry contributed case studies.
Grosh's NSF Career funding is from the Civil and Mechanical Systems, and Bioengineering and
Environmental Systems Divisions.
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U-M MEAM CPO / Rodney Hill

“Integration of Planning and Control for Nonlinear Systems”
The classical approach to motion control for nonlinear systems can be broken down into two
independent steps. Path planning is done first,
and then a tracking control law is found which
guarantees that the system converges to the desired path.
The goal of Tilbury's research is to develop a unified framework in which to address both the planning
and the tracking problems for nonlinear systems. The results of this research will have a broad impact on
the growing area of autonomous systems, allowing for better reactions to changing conditions such sensed
obstacles or large disturbances. By considering the planning and tracking problems in an integrated
fashion, paths can be generated that are "easy" for the system to follow: fast, robust, stable, and requiring
minimum energy.
The teaching aspect of Tilbury's grant includes developing a set of Web-based tutorials to teach students
the importance and utility of system modeling concepts. By using powerful simulation software, nonlinear
system models can be treated quite easily, and more realistic examples can be incorporated into system
modeling courses.
Tilbury's NSF Career funding is from the Civil and Mechanical Systems Division.
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