What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Algorithm
- Mathematical optimization
Atmospheric entry, Control theory, Trajectory, Aerodynamics and Mars landing are his primary areas of study.
His Atmospheric entry research integrates issues from State variable, Nonlinear programming and Optimal control, Trajectory optimization.
The concepts of his Control theory study are interwoven with issues in Tracking, Feature tracking and Track.
His studies in Trajectory integrate themes in fields like Artificial neural network, Sample return mission, Control engineering and Descent.
His work deals with themes such as Control theory, Adaptive control, Reference model, Drag and Acceleration, which intersect with Aerodynamics.
NASA Deep Space Network is closely connected to Aeronautics in his research, which is encompassed under the umbrella topic of Mars landing.
His most cited work include:
- Vision-aided inertial navigation for pinpoint planetary landing (73 citations)
- Review and prospect of guidance and control for Mars atmospheric entry (62 citations)
- Autonomous navigation and guidance for landing on asteroids (47 citations)
What are the main themes of his work throughout his whole career to date?
Shuang Li spends much of his time researching Control theory, Spacecraft, Atmospheric entry, Trajectory and Trajectory optimization.
He combines subjects such as Artificial neural network and Orbital maneuver with his study of Control theory.
His research in Spacecraft intersects with topics in Image processing, Offset, Computer vision, Artificial intelligence and Observability.
His Atmospheric entry study also includes fields such as
- State variable, which have a strong connection to Accelerometer,
- Exploration of Mars which connect with Kalman filter.
His study looks at the relationship between Trajectory optimization and topics such as Nonlinear programming, which overlap with Rendezvous.
The Feature study which covers Inertial navigation system that intersects with Inertial measurement unit, Mars landing and Aerospace engineering.
He most often published in these fields:
- Control theory (26.60%)
- Spacecraft (14.89%)
- Atmospheric entry (15.96%)
What were the highlights of his more recent work (between 2019-2021)?
- Algorithm (10.64%)
- Control theory (26.60%)
- Surface (3.19%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Algorithm, Control theory, Surface, Trajectory and Observability.
His Algorithm research is multidisciplinary, relying on both Satellite, Task and Cluster analysis.
Borrowing concepts from Abstract space, he weaves in ideas under Control theory.
The study incorporates disciplines such as Spin, Mechanics and Lift in addition to Surface.
His Trajectory study integrates concerns from other disciplines, such as Gravity of Earth, Transfer, Collision free and Mathematical analysis.
His Observability research includes themes of Space rendezvous, Applied mathematics and Sensitivity.
Between 2019 and 2021, his most popular works were:
- Contact dynamics and relative motion estimation of non-cooperative target with unilateral contact constraint (5 citations)
- A fast Chebyshev polynomial method for calculating asteroid gravitational fields using space partitioning and cosine sampling (3 citations)
- In-orbit robotic assembly mission design and planning to construct a large space telescope (2 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Algorithm
- Mathematical optimization
His main research concerns Control theory, Ellipsoid, Chebyshev polynomials, Algorithm and Space.
Shuang Li brings together Control theory and Abstract space to produce work in his papers.
Ellipsoid is connected with Surface, Interpolation, Gravitational field and Space partitioning in his research.
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