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The proliferation of computing
and wireless communication technology has opened up tremendous possibilities
for deploying large cooperative networks of smart vehicles to perform intricate
and complex missions. It is evident that collaborative teams of aerial
and ground vehicles can perform a plethora of highly beneficial tasks for
achieving military objectives and civilian security. Despite the emergence
of very successful control design techniques for single vehicle systems,
and the almost ubiquitous existence of distributed software systems, systematic
methodologies for the reliable construction of cooperative networked multi-vehicle
systems are effectively nonexistent.
The major objective of our
consortium is the development of a rigorous theoretical foundation, and
scalable analytical tools and paradigms, so that such systems can be systematically
constructed and their performance formally verified. More generally,
the activity of this program can be expected to have a dramatic impact
on understanding and designing large-scale robust real-time distributed
systems. Our goals are to make use of recent algorithmic developments to
provide hard performance guarantees and bounds for systems performing sophisticated
tasks in uncertain and dynamic physical situations.
The focus of our project
is on the control algorithms and internal software required to develop
systems which are verifiably robust. Such systems must operate under situations
with significant external environmental uncertainty, combined with malicious
attacks and rapidly evolving mission objectives, and these issues are a
central concern for current and future autonomous systems. A major
direction of the proposed program is the frontier between the design methodologies
of distributed software systems and those of robust feedback control, an
area which holds significant promise for advances with dramatic theoretical
and practical impact. |
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Principal
Investigator
Faculty
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Francesco
Bullo , Mechanical and Environmental Engineering, UC Santa Barbara |
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P.R.
Kumar , Electrical and Computer Engineering, UIUC |
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Sanjay
Lall, Aeronautics and Astronautics, Stanford University |
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