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Kun Wang

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Assistant Professor

Universidad Carlos III de Madrid

Spain

Research Interests

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About

Kun Wang is an Assistant Professor at Universidad Carlos III de Madrid. His research focuses on nonlinear optimal control and trajectory optimization, as evidenced by recent articles on fuel-optimal trajectory planning and guided descent using neural networks. He explores various constraints in optimal guidance methods, significantly contributing to the fields of aerospace engineering and automated control systems.

Recent Grants

Grant: Open

Time-Constrained Guidance for Multiple Unmanned Vehicles with Convergence Guarantees

Open Date: 2026-01-01

Close Date: 2027-01-01

Articles (16)

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2026

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2026

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2026

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2025

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2025

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2024

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2024

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2024

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2024

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2024

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2024

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2023

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2022

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2022

Collaborators (4)

Yang Xu

Researcher

Universidad de Granada

SPAIN

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Lorenz T. Biegler

Carnegie Mellon University

UNITED STATES

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Roberto Armellin

Professor

University of Auckland

NEW ZEALAND

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Pengyu Wang

Associate Professor

Harbin Institute of Technology

CHINA

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Kun Wang

Research Interests

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About

Recent Grants

Articles (16)

Predictor-Corrector Nonlinear Arrival-Time Control Guidance under Time-Varying Velocity

Guaranteeing Convergence in Trajectory Shaping Guidance for Impact Time Control

Look-angle-shaped impact time control guidance with field-of-view constraints

Learning-based optimal guidance for spacecraft close-proximity operations with certified stability

Coordinated guidance and control for multiple parafoil system landing

Nonlinear Optimal Impact Angle Control Guidance With Acceleration Constraints

Nonlinear optimal guidance with constraints on impact time and impact angle

A Physics-Informed Indirect Method for Trajectory Optimization

A Physics-Informed Indirect Method for Trajectory Optimization

Fuel-Optimal Trajectory Planning for Lunar Vertical Landing

Fuel-optimal powered descent guidance for lunar pinpoint landing using neural networks

Nonlinear optimal guidance method with constraints on overload and impact time,过载和攻击时间约束下的非线性最优制导方法

Real-time optimal control for attitude-constrained solar sailcrafts via neural networks

Elongation of curvature-bounded path

Nonlinear Optimal Guidance for Intercepting Stationary Targets with Impact-Time Constraints

Nonlinear Optimal Guidance for Intercepting Stationary Targets with Impact-Time Constraints

Collaborators (4)

Yang Xu

Lorenz T. Biegler

Roberto Armellin

Pengyu Wang

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