Scanning-Chain Formation Control for Multiple Unmanned Surface Vessels to Pass Through Water Channels

Liu, Bin; Zhang, Haitao; Meng, Haofei; Fu, Dongfei; Su, Housheng

doi:10.1109/tcyb.2020.2997833

Cited by 59 publications

(16 citation statements)

References 50 publications

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“…This work addressed the pipeline passage problem of the drone swarm and was experimentally verified using 6 multicopters. Liu et al [34] developed a pragmatic distributed flexible formation protocol to pass through a narrow and irregular channel. In this study, two leaders tracked predefined channel boundaries, followers tracked leaders, and a field experiment was carried out with 3 unmanned surface vessels.…”

Section: Passing-through Experiments Using Swarm Robots and Collectiv...mentioning

confidence: 99%

AGDS: adaptive goal-directed strategy for swarm drones flying through unknown environments

Wang

Huang

Low

et al. 2022

Complex Intell. Syst.

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This paper aims to address a challenging problem of a drone swarm for a specific mission by reaching a desired region, through an unknown environment. A bio-inspired flocking algorithm with adaptive goal-directed strategy (AGDS) is proposed and developed for the drones swarmed across unknown environments. Each drone employs a biological visual mechanism to sense obstacles in within local perceptible scopes. Task information of the destination is only given to a few specified drones (named as informed agents), rather than to all other individual drones (uninformed agents). With the proposed flocking swarm, the informed agents operate collectively with the remaining uninformed agents to achieve a common and overall mission. By virtue of numerical simulation, the AGDS and non-adaptive goal-directed strategy (non-AGDS) are both presented and evaluated. Experiments by flying six DJI Tello quadrotors indoor are conducted to validate the developed flocking algorithm. Additional validations within canyon-like complicated scenarios have also been carried out. Both simulation and experimental results demonstrate the efficiency of the proposed swarm flocking algorithm with AGDS.

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Section: Passing-through Experiments Using Swarm Robots and Collectiv...mentioning

confidence: 99%

AGDS: adaptive goal-directed strategy for swarm drones flying through unknown environments

Wang

Huang

Low

et al. 2022

Complex Intell. Syst.

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“…The cascade control ( C 2 ) configuration is widely used in practice (Khosravi et al, 2021; Połap et al, 2021; Wang et al, 2020; Yao et al, 2021; Zhou et al, 2021), where the control design is carried out into multiple feedback-loops, starting from fastest variable down to the slowest in a nested fashion. The application of C 2 consensus can be found in motion control of ships, distributed microgrids, unmanned aerial vehicles, ASVs, and more (Liu et al, 2019, 2020; Połap et al, 2021; Qiao et al, 2018; Schiffer et al, 2017; Wang et al, 2020). Liu et al (2019) proposed cascade control of network subject to cyber attacks using the Takagi–Sugeno (T-S) fuzzy approach.…”

Section: Introductionmentioning

confidence: 99%

Frequency domain cascade consensus and disturbance rejection control of multi-agent systems

Ahmed

2023

Transactions of the Institute of Measurement and Control

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This work describes a cascade consensus control problem of multi-agent systems (MASs) under disturbances in frequency domain (FD). An internal model control–based scheme, a kind of FD scheme is utilized to address the network of agents. Each agent of the network consists of two loops control configuration. Inner-loop control is responsible for single-agent control and eliminates the effects of internal disturbances. Whereas the outer-loop controller works as multi-agent control and eliminates the effects of external disturbances. For both loops, robust quasi-[Formula: see text] controller is derived for disturbance rejection and resilient consensus of all agents. This scheme is novel in the sense that it can eliminate the impacts of disturbances on the MAS without the restriction of the number of nodes. An analytical scheme is utilized for the tuning of the designed controller to track the consensus performance of the network. Numerical examples are given to describe the validity of the proposed algorithm.

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“…With advancement of communication and computer technologies, coordination control of MASs has got a lot of attention of researchers in di erent areas of engineering due to its broad applications in order to attain craving physical performances [1,2]. ere is speedy increment in progress of MASs because of improvement in communication, computing, and relevant technologies.…”

Section: Introductionmentioning

confidence: 99%

An Overview of Recent Advances of Resilient Consensus for Multiagent Systems under Attacks

Aslam

Ahmed

et al. 2022

Computational Intelligence and Neuroscience

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Consensus control of multiagent systems (MASs) has been one of the most extensive research topics in the field of robotics and automation. The information sharing among the agents in the MASs depends upon the communication network because the interaction of agents may affect the consensus performance of the agents in a communication network. An unexpected fault and attack may occur on one agent and can propagate through the communication network into other agents. Thus, this may cause severe degradation of the whole MASs. In this paper, we first discussed MAS technologies. After that available technologies for the modeling of attacks and fundamental issues due to attacks on MAS attacks were discussed. We also introduced cooperative attack methodologies and model-based attack methodology. Objective of this article is to provide comprehensive study on recent advances in consensus control of MASs under attacks covering the published results until 2021. This survey presents different kinds of attacks, their estimation and detection, and resilient control against attacks. At the end, the survey accomplishes some potential recommendations for future direction to solve the key issues and challenges reported for secure consensus control of MASs.

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Scanning-Chain Formation Control for Multiple Unmanned Surface Vessels to Pass Through Water Channels

Cited by 59 publications

References 50 publications

AGDS: adaptive goal-directed strategy for swarm drones flying through unknown environments

AGDS: adaptive goal-directed strategy for swarm drones flying through unknown environments

Frequency domain cascade consensus and disturbance rejection control of multi-agent systems

An Overview of Recent Advances of Resilient Consensus for Multiagent Systems under Attacks

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