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Improper Filter Reduction | ||
Journal of Algorithms and Computation | ||
مقاله 4، دوره 50، شماره 1، شهریور 2018، صفحه 69-99 اصل مقاله (438.53 K) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22059/jac.2018.68340 | ||
نویسندگان | ||
Fatemehzahra Saberifar1؛ Ali Mohades* 2؛ Mohammadreza Razzazi2؛ Jason J. M. O'Kane3 | ||
1Department of Mathematics and Computer Science, Amirkabir University of Technology, Tehran, Iran. | ||
2Amirkabir University of Technology | ||
3University of South Carolina | ||
چکیده | ||
Combinatorial filters, which are discrete representations of estimation processes, have been the subject of increasing interest from the robotics community in recent years. % This paper considers automatic reduction of combinatorial filters to a given size, even if that reduction necessitates changes to the filter's behavior. % We introduce an algorithmic problem called \emph{improper filter reduction}, in which the input is a combinatorial filter $F$ along with an integer $k$ representing the target size. The output is another combinatorial filter $F'$ with at most $k$ states, such that the difference in behavior between $F$ and $F'$ is minimal. We present two methods for measuring the distance between pairs of filters, describe dynamic programming algorithms for computing these distances, and show that improper filter reduction is NP-hard under these methods. % We then describe two heuristic algorithms for improper filter reduction, one \changed{greedy sequential} approach, and one randomized global approach based on prior work on weighted improper graph coloring. We have implemented these algorithms and analyze the results of three sets of experiments. | ||
کلیدواژهها | ||
combinatorial filters؛ Estimation؛ automata | ||
آمار تعداد مشاهده مقاله: 277 تعداد دریافت فایل اصل مقاله: 176 |