Multi-Dimensional Co-Engineering
Of Autonomous Systems
A half-day
tutorial affiliated with SEFM'2010
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Lecturers |
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Abstract |
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Antonios Tsourdos / Brian
White |
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The variety of autonomous systems is
increasing both in industry and academia. Such systems must operate with
limited human intervention in a changing environment and they must be able to
compensate for significant system failure without external intervention. In highly autonomous systems, the
system behaviour is normally so complex that it is either impossible or
inappropriate to describe it with conventional mathematical system models.
The complexity of the system model needed in design depends on both the
complexity of the physical system and on how demanding the design
specifications are. The most appropriate models of autonomous systems can be
find in the class are hybrid systems (which study continuous-state
dynamic processes via discrete-state controllers) that interact with their
environment. |
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Topics · Overview of autonomous
systems engineering · Holistic modelling · Hybrid systems ·
Multi-dimensional co-engineering: modelling, control,
coordination and control · Unmanned Aerial Vehicles · Challenges at nanoscale |
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Resources
Path Planning Strategies for
Cooperative Autonomous Air Vehicles Wiley, John & Sons (2010)
Kripke modelling of multiple robots with decentralized cooperation specified with temporal logic, Proceedings Of The Institution Of Mechanical Engineers Part I-Journal Of Systems And Control Engineering, Vol 219, No 11, pp. 15-31, 2005
Toward a General Theory of Stochastic Hybrid Systems (2006). Springer Verlag Lecture Notes in Control and Information Sciences 337. pp. 3-30.
Towards
Co-Engineering Communicating Autonomous Cyber-physical Systems NFM, 1st NASA Symposium on Formal
Methods |
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