Bailing Tian

Some Modifications to Our End-to-End UAV Planner

Junjie Lu, Bailing Tian

The one-stage planner YOPO maps a single depth image and the robot state directly to a set of candidate trajectories, trained by backpropagating through differentiable trajectory costs. This yields dense, geometrically informative supervision, but inherits the pathologies of soft-constrained optimization: the safety …

Dynamic multi-drone parcel delivery via cooperative multi-objective particle swarm optimization

Xinyi Zhao, Puxi Liu, Long Ma, Bailing Tian

Saturated attitude control for RLVs with variable prescribed performance under sensor noise: A barrier function-based approach

Bailing Tian, Ya Wang, Zhiyu Li, 宗 群 Zong Qun et autres

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Practical prescribed-time control for multi-quadrotor cooperative transport system with constraint

Shikai Shao, Haoan Wang, Bailing Tian, Xiaojing Wu et autres

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Flexible distributed fencing control for Euler–Lagrange multi‐agent systems with moving target

Xinyi Zhao, Xiaorui Guo, Zenghui Yue, Bailing Tian et autres

Abstract In this paper, a flexible distributed fencing controller based on Euler–Lagrange dynamics is proposed, which could cooperatively fence a moving target with unknown but constant velocity within the convex hull formed by the agents while ensuring collision avoidance and stable formation. …

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Adaptive Prescribed‐Time Trajectory Tracking Control for a Quadrotor With Non‐Vanishing Uncertainties

Shikai Shao, Zifei Wang, Haoan Wang, Xiaoyuan Luo et autres

ABSTRACT This paper investigates a global prescribed‐time trajectory tracking control problem for a quadrotor unmanned aerial vehicle (QUAV) subject to non‐vanishing uncertainties. To overcome the limitations of traditional prescribed‐time control (PTC) methods that rely on switching mechanisms or are sensitive to initial …

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Prescribed-Time Cooperative Guidance Scheme for Multimissile Systems With Impact Angle Constraints and Disturbance Compensation

Jie Wang, Yue Wang, Dinghua Wang, Bailing Tian et autres

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Adaptive Finite-Gain Prescribed-Time Attitude Tracking Control of RLV: A Super-Twisting-Based Approach

Ruifeng Li, Liqian Dou, Jianuo Sun, Zhiyu Li et autres

This paper proposes an adaptive finite-gain prescribed-time tracking control framework for reusable launch vehicle attitude systems subject to unknown external disturbances. A nominal prescribed-time controller is first developed for disturbance-free dynamics. Subsequently, to address unknown disturbances, a prescribed-time integral sliding manifold integrating …

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Event-Triggered Robust Guidance for Three-Dimensional Hypersonic Attack–Defense Engagements via Adaptive Dynamic Programming

Jie Wang, Chang Liu, Bailing Tian, Shu Liang et autres

YOPOv2-Tracker: An End-to-End Agile Tracking and Navigation Framework

Junjie Lu, Yulin Hui, Xuewei Zhang, Wencan Feng et autres

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ParaMaP: Parallel Mapping and Collision-free Motion Planning for Reactive Robot Manipulation

Xuewei Zhang, Bailing Tian, Kai Feng Zheng, Yulin Hui et autres

Real-time and collision-free motion planning remains challenging for robotic manipulation in unknown environments due to continuous perception updates and the need for frequent online replanning. To address these challenges, we propose a parallel mapping and motion planning framework that tightly integrates Euclidean …

Harnessing optimal robustness towards PI regulators of linear perturbed unstable systems

Qi Mao, Jun Chen, Fei Xie, Liqian Dou et autres

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