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Covariance tracking method for designing a robust receding horizon controller
In this paper, a novel covariance tracking receding horizon (CTRH) process is proposed to
design a robust control algorithm. Some drawbacks of the equivalent robust algorithms …
design a robust control algorithm. Some drawbacks of the equivalent robust algorithms …
Analysis of navigation performance with lunar GNSS evolution
The gradual expansion of infrastructure on and around the Moon is key to establishing the
long-term exploration of the Moon through eg, NASA's Artemis and Commercial Lunar …
long-term exploration of the Moon through eg, NASA's Artemis and Commercial Lunar …
Robust Cislunar Trajectory Optimization via Midcourse Correction and Optical Navigation Scheduling
This paper presents a new approach to optimal trajectory design that considers uncertainties
in the system, referred to herein as robust trajectory optimization. This approach assumes an …
in the system, referred to herein as robust trajectory optimization. This approach assumes an …
Development and validation of linear covariance analysis tool for atmospheric entry
K **, D Geller, J Luo - Journal of Spacecraft and Rockets, 2019 - arc.aiaa.org
Entry guidance is a fundamental element of atmospheric entry missions. However, during
the atmospheric entry, there are many uncertainties that cannot be predicted and ultimately …
the atmospheric entry, there are many uncertainties that cannot be predicted and ultimately …
Sensitivity of Optimal Midcourse Correction Scheduling for Robust Cislunar Trajectory Design
D Geller, D Woffinden, S Bieniawski - 45th Rocky Mountain AAS …, 2023 - ntrs.nasa.gov
A new approach to optimal trajectory design is the determination of optimal trajectories that
are robust to initial trajectory dispersions, navigation errors, maneuver execution errors, and …
are robust to initial trajectory dispersions, navigation errors, maneuver execution errors, and …
Closed-loop linear covariance framework for path planning in static uncertain obstacle fields
Path planning in an uncertain environment is a key enabler of true vehicle autonomy. Over
the past two decades, numerous approaches have been developed to account for errors in …
the past two decades, numerous approaches have been developed to account for errors in …
Robust entry guidance using linear covariance-based model predictive control
J Luo, K **, M Wang, J Yuan… - International Journal of …, 2017 - journals.sagepub.com
For atmospheric entry vehicles, guidance design can be accomplished by solving an optimal
issue using optimal control theories. However, traditional design methods generally focus on …
issue using optimal control theories. However, traditional design methods generally focus on …
Robust trajectory planning for non-cooperative target rendezvous based on closed-loop uncertainty analysis
M Zheng, J Luo - Advances in Space Research, 2024 - Elsevier
A robust trajectory planning method for non-cooperative target rendezvous is investigated
based on closed-loop uncertainty analysis. The proposed method addresses the issue that …
based on closed-loop uncertainty analysis. The proposed method addresses the issue that …
Covariance analysis of differential drag-based satellite cluster flight
O Ben-Yaacov, A Ivantsov, P Gurfil - Acta Astronautica, 2016 - Elsevier
One possibility for satellite cluster flight is to control relative distances using differential drag.
The idea is to increase or decrease the drag acceleration on each satellite by changing its …
The idea is to increase or decrease the drag acceleration on each satellite by changing its …
Linear Quadratic Regulator Weighting Matrices for Output Covariance Assignment in Nonlinear Systems
A time-varying output covariance assignment problem in the presence of a stochastic
disturbance is solved using finite-horizon optimal control formulation. It is shown that an …
disturbance is solved using finite-horizon optimal control formulation. It is shown that an …