Title :
D optimal design for inertial navigation systems self-demarcation test based on genetic algorithm and tabu search algorithm
Author :
Zhang, Wen-ying ; Bi, Jing ; GOng, Cheng ; Guo, Gang ; Liu, Yu ; Su, Bao-ku
Author_Institution :
Sch. of Sci., Harbin Eng. Univ., Harbin, China
Abstract :
This paper researched the D optimal design for inertial navigation systems self-demarcation Test. Based on genetic algorithm and tabu search algorithm, we presented a novel optimal path design method for continuous roll test, which not only gives an effective control path but also decreases the operation time dramatically. Finally, the simulation illustrates the effectiveness of the proposed method.
Keywords :
control system synthesis; genetic algorithms; inertial navigation; optimal control; path planning; search problems; D optimal design; continuous roll test; genetic algorithm; inertial navigation systems; optimal path design method; self demarcation test; tabu search algorithm; Algorithm design and analysis; Educational institutions; Genetic algorithms; Heuristic algorithms; Inertial navigation; Machine learning algorithms; Performance analysis; D Optimal Design; Genetic Algorithm; Inertial Navigation Systems; Tabu Search Algorithm;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4577-0305-8
DOI :
10.1109/ICMLC.2011.6016681
