An optimal pursuit-evasion strategy for linear sampled-data systems
Differential game theory and dynamic programming are applied to derive the optimal strategy, or sequence of controls, for a class of linear, sampled-data , pursuit-evasion problems. The necessary and sufficient conditions for existence of the solution are derived. A digital computer program for...
| Main Authors: | , |
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| Other Authors: | |
| Language: | en_US |
| Published: |
Monterey, California. Naval Postgraduate School
2013
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| Online Access: | http://hdl.handle.net/10945/26133 |
| Summary: | Differential game theory and dynamic programming are applied
to derive the optimal strategy, or sequence of controls, for a class
of linear, sampled-data , pursuit-evasion problems. The necessary
and sufficient conditions for existence of the solution are derived.
A digital computer program for simulating control generation and system
trajectories is given. The results of simulation tests using this
digital computer model are presented to demonstrate the salient
characteristics of the strategy. |
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