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This paper presents and validates active interaction force control and planning for fully actuated and omnidirectional aerial manipulation platforms, with the goal of aerial contact inspection in unstructured environments. We present a…

Commercial UAVs are an emerging security threat as they are capable of carrying hazardous payloads or disrupting air traffic. To counter UAVs, we introduce an autonomous 3D target encirclement and interception strategy. Unlike traditional…

机器人学 · 计算机科学 2025-06-17 Fen Liu , Shenghai Yuan , Thien-Minh Nguyen , Rong Su

Hybrid unmanned aircraft can significantly increase the potential of micro air vehicles, because they combine hovering capability with a wing for fast and efficient forward flight. However, these vehicles are very difficult to control,…

机器人学 · 计算机科学 2019-09-27 E. J. J. Smeur , M. Bronz , G. C. H. E. de Croon

This paper presents a data-driven optimal control policy for a micro flapping wing unmanned aerial vehicle. First, a set of optimal trajectories are computed off-line based on a geometric formulation of dynamics that captures the nonlinear…

机器人学 · 计算机科学 2022-06-09 Tejaswi K. C. , Taeyoung Lee

Consensus formation tracking of multiple autonomous underwater vehicles (AUVs) subject to nonlinear and uncertain dynamics is a challenging problem in robotics. To tackle this challenge, a distributed bioinspired sliding mode controller is…

系统与控制 · 电气工程与系统科学 2022-06-20 Tao Yan , Zhe Xu , Simon X. Yang

Unmanned aerial vehicle (UAV) with slung load system is a classic air transportation system. In practical applications, the suspension point of the slung load does not always align with the center of mass (CoM) of the UAV due to mission…

系统与控制 · 电气工程与系统科学 2026-01-13 Zongyang Lv , Yanmei Jia , Yongqing Liu , Alan F. Lynch , Qing Zhao , Yuhu Wu

This paper develops an adaptive autopilot for quadcopters with unknown dynamics. To do this, the PX4 autopilot architecture is modified so that the feedback and feedforward controllers are replaced by adaptive control laws based on…

系统与控制 · 电气工程与系统科学 2020-06-02 Ankit Goel , Abdulazeez Mohammed Salim , Ahmad Ansari , Sai Ravela , Dennis Bernstein

This paper proposes a practical implementation of sliding mode control (SMC) that utilizes partial modeling compensation. Sliding mode control is well known for its effectiveness as a model free control approach, however, its effectiveness…

系统与控制 · 电气工程与系统科学 2020-08-04 Gangfeng Yan , Khalid Abidi

In this paper, the control problem for underactuated systems in the presence of external disturbances and model uncertainties is considered. An adaptive fuzzy sliding mode controller (AFSMC) is proposed to solve the problem, satisfying the…

最优化与控制 · 数学 2017-02-10 Mohammad Mahdi Azimi , Hamid Reza Koofigar , Mehdi Edrisi

This paper explores the application of Artificial Intelligence (AI) techniques for generating the trajectories of fleets of Unmanned Aerial Vehicles (UAVs). The two main challenges addressed include accurately predicting the paths of UAVs…

机器人学 · 计算机科学 2024-05-21 Amit Raj , Kapil Ahuja , Yann Busnel

As roles for unmanned aerial vehicles (UAV) continue to diversify, the ability to sense and interact closely with the environment becomes increasingly important. Within this paper we report on the initial flight tests of a novel adaptive…

机器人学 · 计算机科学 2017-11-30 Salua Hamaza , Ioannis Georgilas , Thomas Richardson

In this paper, a novel adaptive smooth disturbance observer-based fast finite-time adaptive backstepping control scheme is presented for the attitude tracking of the 3-DOF helicopter system subject to compound disturbances. First, an…

系统与控制 · 电气工程与系统科学 2022-05-26 Xidong Wang , Zhan Li , Xinghu Yu , Zhen He

Conventional Sliding mode control and observation techniques are widely used in aerospace applications, including aircrafts, UAVs, launch vehicles, missile interceptors, and hypersonic missiles. This work is dedicated to creating a…

系统与控制 · 电气工程与系统科学 2021-06-09 S. Kode , Y. Shtessel , A. Levant , J. Rakoczy , M. Hannan , J. Orr

Bio-inspired methods can provide efficient solutions to perform autonomous landing for Micro Air Vehicles (MAVs). Flying insects such as honeybees perform vertical landings by keeping flow divergence constant. This leads to an exponential…

机器人学 · 计算机科学 2016-09-23 H. W. Ho , G. C. H. E. de Croon , E. van Kampen , Q. P. Chu , M. Mulder

Autonomous multirotor landings on uncrewed surface vessels (USVs) are critical for persistent maritime operations but remain challenging due to wave-induced tilt, wind disturbances, and limited landing area. Many existing approaches exhibit…

机器人学 · 计算机科学 2026-04-28 Teighin Nordholt , Melissa Greeff

This paper proposes a novel control law for accurate tracking of agile trajectories using a tailsitter flying wing unmanned aerial vehicle (UAV) that transitions between vertical take-off and landing (VTOL) and forward flight. The global…

机器人学 · 计算机科学 2022-07-28 Ezra Tal , Sertac Karaman

The dead-zone is one of the most common hard nonlinearities in industrial actuators and its presence may drastically compromise control systems stability and performance. In this work, an adaptive variable structure controller is proposed…

系统与控制 · 电气工程与系统科学 2022-05-30 Wallace Moreira Bessa

In this paper, attitude maneuver control without unwinding phenomenon is investigated for rigid spacecraft. First, a novel switching function is constructed by a hyperbolic sine function. It is shown that the spacecraft system possesses the…

系统与控制 · 电气工程与系统科学 2022-12-20 Rui-Qi Dong , Ai-Guo Wu , Ying Zhang

Hybrid unmanned aerial vehicles (UAVs) integrate the efficient forward flight of fixed-wing and vertical takeoff and landing (VTOL) capabilities of multicopter UAVs. This paper presents the modeling, control and simulation of a new type of…

机器人学 · 计算机科学 2026-01-27 Quan Quan , Wang Shuai , Gao Wenhan

This study proposes a new distributed control method based on an adaptive fuzzy control for multiple collaborative autonomous underwater vehicles (AUVs) to track a desired formation shape within a fixed time. First, a formation control…

系统与控制 · 电气工程与系统科学 2023-03-01 Mien Van , Yuzhu Sun , Stephen Mcllvanna , Minh-Nhat Nguyen , Federico Zocco , Zhijie Liu , Hsueh-Cheng Wang