Abstract | ||
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We consider finite state machines whose states evolve in a vector space defined over a finite field, and whose dynamics are linear time-invariant. For this class of systems, we show how the linear structure may be exploited to reduce the complexity of solving a class of finite horizon optimal control problems. |
Year | DOI | Venue |
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2013 | 10.1109/Allerton.2013.6736629 | Communication, Control, and Computing |
Keywords | DocType | ISSN |
computational complexity,finite state machines,optimal control,vectors,algebraic structure,class complexity,finite horizon optimal control problems,finite state machine control,linear structure,linear time-invariant dynamics,vector space | Conference | 2474-0195 |
ISBN | Citations | PageRank |
978-1-4799-3409-6 | 0 | 0.34 |
References | Authors | |
15 | 1 |
Name | Order | Citations | PageRank |
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Danielle C. Tarraf | 1 | 177 | 19.65 |