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

Volume

1

fYear

2011

fDate

10-13 July 2011

Firstpage

428

Lastpage

431

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics (ICMLC), 2011 International Conference on

Conference_Location

Guilin

ISSN

2160-133X

Print_ISBN

978-1-4577-0305-8

Type

conf

DOI

10.1109/ICMLC.2011.6016681

Filename

6016681