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Review
Automation & Control Systems
Quan Ouyang et al.
Summary: This paper provides a comprehensive review and analysis of unmanned aerial vehicle swarm communication networks and formation control strategies, highlighting the superiorities of distributed formation control and future development trends.
ASIAN JOURNAL OF CONTROL
(2023)
Article
Automation & Control Systems
Esteban Restrepo et al.
Summary: This paper addresses the consensus problem for multiagent systems over a connected, undirected graph with proximity constraints. By utilizing barrier Lyapunov functions, the authors provide strict functions to ensure stability of consensus and connectivity, and demonstrate the robustness of consensus protocols.
INTERNATIONAL JOURNAL OF CONTROL
(2022)
Article
Automation & Control Systems
Ximing Wang et al.
Summary: This article presents a distributed flocking controller design using a robust integral of sign of error (RISE) based control method. By using a new second-order differential virtual potential field function and navigational feedback from a virtual leader, the controller ensures velocity consensus and a specific formation of multi-agent systems. Numerical simulations demonstrate the effectiveness of the algorithm.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Automation & Control Systems
Khan Muhammad Shehzad et al.
Summary: This paper presents an optimal formation control approach for multiple UAVs based on model decomposition, integrating formation control and trajectory tracking into a unified framework. By decomposing followers into isolated subsystems, the complexity of the model is reduced. Extensive simulations validate the stability and optimality of the proposed scheme.
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
(2022)
Article
Nanoscience & Nanotechnology
Xiaopo Mao et al.
Summary: This paper studies the electromagnetic field simulation model and safety distance of UAV inspection operations on DC transmission lines. By analyzing the electromagnetic field distribution and establishing a test platform, the influence range and degree of the DC electromagnetic field on the inspection system are obtained, and corresponding safety distances are provided.
Article
Automation & Control Systems
Boyang Zhang et al.
Summary: This paper focuses on cooperative tracking control of multiple unmanned aerial vehicles with unknown faults, proposing a distributed adaptive fault tolerant scheme within a model predictive control framework. The fault detection strategy and fault tolerant model predictive control scheme effectively compensate for actuator and sensor faults, demonstrating their effectiveness through simulations.
ASIAN JOURNAL OF CONTROL
(2022)
Article
Automation & Control Systems
Salim Vargas et al.
Summary: This paper proposes a distributed model predictive control (MPC) scheme based on consensus theory for the formation control of a group of quadcopters. The scheme maintains the connectivity of the communication topology and addresses collision and obstacle avoidance. Additionally, the scheme integrates dynamic formation control and is validated through real experiments.
CONTROL ENGINEERING PRACTICE
(2022)
Article
Automation & Control Systems
Lei He et al.
Summary: The focus of this study is to address the consensus problem in heterogeneous nonlinear multi-agent systems. A distributed adaptive consensus controller is proposed, which utilizes only local information and employs the command filtered backstepping approach, as only some agents have direct access to reference information. Our proposed mechanism ensures the uniform and ultimate boundedness of all closed-loop signals, and it ensures the convergence of consensus tracking error to a small tunable compact set. Furthermore, the suggested control algorithm solves the formation-tracking problem of nonholonomic unmanned aerial vehicles.
Article
Engineering, Marine
Bing Huang et al.
Summary: This paper investigates finite-time distributed formation control for unmanned surface vessels (USVs) facing external disturbances, model uncertainties, and input saturation constraints. By combining sliding mode control and adaptive algorithms, two control architectures are developed to address the formation control problem of USVs. Utilizing Radial Basis Function Neural Networks (RBFNNs) and an adaptive mechanism, the study demonstrates achievable finite-time convergence under the proposed controllers.
Article
Automation & Control Systems
Henglai Wei et al.
Summary: This article studies the formation tracking problem of a team of autonomous underwater vehicles (AUVs) with ocean current disturbances, proposing a distributed Lyapunov-based model predictive controller to address this issue. It utilizes extended state observer-based auxiliary control laws and online optimization to enhance the formation tracking performance of the multi-AUV system, ensuring closed-loop stability with stability constraints and artificial potential fields for inter-AUV collision avoidance. Extensive simulations demonstrate the superior control performance and robustness of the proposed method on Saab Falcon AUVs.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Environmental Sciences
Kaifang Wan et al.
Article
Robotics
Giroung Lee et al.
INTELLIGENT SERVICE ROBOTICS
(2018)
Article
Engineering, Aerospace
Emanuele L. de Angelis et al.
AEROSPACE SCIENCE AND TECHNOLOGY
(2018)
Article
Computer Science, Hardware & Architecture
Oscar Alvear et al.
MOBILE NETWORKS & APPLICATIONS
(2018)
Article
Engineering, Marine
Mohamed Abdelaal et al.
Review
Engineering, Aerospace
M. Hassanalian et al.
PROGRESS IN AEROSPACE SCIENCES
(2017)
Article
Computer Science, Artificial Intelligence
Alexandre Santos Brandao et al.
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
(2016)
Article
Computer Science, Artificial Intelligence
Omer Cetin et al.
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
(2016)
Article
Engineering, Multidisciplinary
Dongdong Xu et al.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2014)
