Linear Covariance-Based Optimal Sensor Selection for GN&C System Using Second-Order Cone Programming-Reference-Cited by-同舟云学术

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Linear Covariance-Based Optimal Sensor Selection for GN&C System Using Second-Order Cone Programming

Published:2019-07 Issue:4 Volume:32 Page:04019024
ISSN:0893-1321
Container-title:Journal of Aerospace Engineering
language:en
Short-container-title:J. Aerosp. Eng.

Author:

Jin Kai¹,Geller David²,Luo Jianjun³

Affiliation:

1. Ph.D. Candidate, National Key Laboratory of Aerospace Flight Dynamics, School of Astronautics, Northwestern Polytechnical Univ., Xi’an 710072, China.

2. Associate Professor, Dept. of Mechanical and Aerospace Engineering, Utah State Univ., Logan, UT 84322 (corresponding author).

3. Professor, National Key Laboratory of Aerospace Flight Dynamics, School of Astronautics, Northwestern Polytechnical Univ., Xi’an 710072, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Aerospace Engineering,General Materials Science,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29AS.1943-5525.0001013

Reference25 articles.

1. Convex Programming Approach to Powered Descent Guidance for Mars Landing

2. On implementing a primal-dual interior-point method for conic quadratic optimization

3. Inertial sensor technology trends

4. Convex Optimization

5. Linear covariance techniques for closed-loop guidance navigation and control system design and analysis

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