Dayi Wang
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View article: Autonomous Navigation Method for Planetary Landing Based on Observability Analysis of Sequential Images
Autonomous Navigation Method for Planetary Landing Based on Observability Analysis of Sequential Images Open
Sequential images provided by optical cameras are ideal for realizing high-precision autonomous navigation for planetary landings, but due to limited computational resources, a large amount of image information cannot be processed on deep …
Autonomous relative optical navigation based on unified modeling of external systematic errors Open
To solve the problem that external systematic errors of the optical camera cannot be fully estimated due to limited computing resources, a unified dimensionality reduction representation method for the external systematic errors of the opt…
Optimal maneuvering strategy of spacecraft evasion based on angles-only measurement and observability analysis Open
Spacecraft orbit evasion is an effective method to ensure space safety. In the spacecraft's orbital plane, the space non-cooperate target with autonomous approaching to the spacecraft may have a dangerous rendezvous. To deal with this prob…
Motion Estimation of Non-Cooperative Space Objects Based on Monocular Sequence Images Open
The motion estimation of non-cooperative space objects is an important prerequisite for successfully completing on-orbit servicing, debris removing and asteroid exploration missions. The motion estimation of non-cooperative space objects i…
Reconfigurability evaluation method for input-constrained control systems Open
This paper proposes a quantitative reconfigurability evaluation method for control systems with actuator saturation and additive faults from the perspective of system stability. Placing the saturated feedback law in the convex hull of a gr…
Fault Detection Based on Multi-Dimensional KDE and Jensen–Shannon Divergence Open
Weak fault signals, high coupling data, and unknown faults commonly exist in fault diagnosis systems, causing low detection and identification performance of fault diagnosis methods based on T2 statistics or cross entropy. This paper propo…
Navigation and Control Scheme for Space Rendezvous and Docking With Maneuvering Noncooperative Target Based on Dynamic Compensation Open
Rendezvous and docking with noncooperative targets is one of the key technologies for on-orbit service such as satellite maintenance, space supply and space debris cleaning, etc. For the rendezvous and docking with maneuvering noncooperati…
SINS/CNS/GNSS Integrated Navigation Based on an Improved Federated Sage–Husa Adaptive Filter Open
Among the methods of the multi-source navigation filter, as a distributed method, the federated filter has a small calculation amount with Gaussian state noise, and it is easy to achieve global optimization. However, when the state noise i…
SINS/Landmark Integrated Navigation Based on Landmark Attitude Determination Open
Based on the situation that the traditional SINS (strapdown inertial navigation system)/CNS (celestial navigation system) integrated navigation system fails to realize all-day and all-weather navigation, this paper proposes a SINS/Landmark…
Fault Detection for Closed-Loop Control Systems Based on Parity Space Transformation Open
Fault detection for closed-loop control systems is the future development in the field of the fault diagnosis. Since a closed-loop control system is generally very robust to the external disturbances, fault detection has been challenging a…
Autonomous relative navigation for noncooperative target using stereo vision measurements Open
An autonomous relative navigation method based on stereo vision measurements is proposed for noncooperative targets without any prior information. Firstly, a target identification model using only stereo vision measurements is established.…
Evaluation of Fault Diagnosability for Dynamic Systems With Unknown Uncertainties Open
In this paper, the quantitative fault diagnosability problem for a stochastic dynamic system subjects to unknown uncertainties is proposed. Reliable isolability, reliable detectability, and reliable distinguishability are newly defined for…
Optimal Linear Biased Estimation Based on Generalized Contraction Mapping Open
Estimation methods are generalized in this paper by the idea of “scalar-vector-matrix”. A generalized contraction mapping (GCM) framework is proposed for searching the optimal linear biased estimation. First, based on the latent model and …
Analytical Solutions of Generalized Triples Algorithm for Flush Air-Data Sensing Systems Open
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