Practical consensus for heterophilous multiagent networks with constrained states

Shang, Yilun

doi:10.1016/j.jfranklin.2022.04.037

Cited by 13 publications

(4 citation statements)

References 34 publications

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“…Figure 8 illustrates the calculation process of the evaluation value

for the inner sampling point, including the color judgment process for

and

of one inner point. This is a continuous judging process [ 37 ].…”

Section: Variable Photo-model Pose and Size Detection Methodsmentioning

confidence: 99%

A Variable Photo-Model Method for Object Pose and Size Estimation with Stereo Vision in a Complex Home Scene

Tian

Wang

2023

Sensors

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Model-based stereo vision methods can estimate the 6D poses of rigid objects. They can help robots to achieve a target grip in complex home environments. This study presents a novel approach, called the variable photo-model method, to estimate the pose and size of an unknown object using a single photo of the same category. By employing a pre-trained You Only Look Once (YOLO) v4 weight for object detection and 2D model generation in the photo, the method converts the segmented 2D photo-model into 3D flat photo-models assuming different sizes and poses. Through perspective projection and model matching, the method finds the best match between the model and the actual object in the captured stereo images. The matching fitness function is optimized using a genetic algorithm (GA). Unlike data-driven approaches, this approach does not require multiple photos or pre-training time for single object pose recognition, making it more versatile. Indoor experiments demonstrate the effectiveness of the variable photo-model method in estimating the pose and size of the target objects within the same class. The findings of this study have practical implications for object detection prior to robotic grasping, particularly due to its ease of application and the limited data required.

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“…Figure 8 illustrates the calculation process of the evaluation value

for the inner sampling point, including the color judgment process for

and

of one inner point. This is a continuous judging process [ 37 ].…”

Section: Variable Photo-model Pose and Size Detection Methodsmentioning

confidence: 99%

A Variable Photo-Model Method for Object Pose and Size Estimation with Stereo Vision in a Complex Home Scene

Tian

Wang

2023

Sensors

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“…The study of complex networks has not only profound theoretical significance but also has a wide range of practical applications. With the deepening of research, scholars have made new progress in synchronization and propagation of complex networks [3,4], consensus and robustness [5][6][7][8][9][10][11], fractal networks [12,13], cascading failures [14].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the consensus of double-layer chain networks

et al. 2023

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The multi-layer network topology structures directly affect the robustness of network consensus. The different positions of edges between layers will lead to a great difference in the consensus of double-layer chain networks. Finding the optimal positions of edges for consensus can help to design the network topology structures with optimal robustness. In this paper, we first derive the coherence of double-layer chain networks with one and two connected edges between layers by graph theory. Secondly, the optimal and worst connection edges positions of the two types of networks are simulated. When there is one edge between layers, the optimal edge connection position is found at 1/2 of each chain, and the worst edge connection position is found at the end node of the chain. When there are two edges between layers, the optimal edges connection positions are located at 1/5 and 4/5 of each chain respectively, and the worst edges connection positions are located at the end node of the chain and its neighbor node. Furthermore, we find that the optimal edge connection positions are closely related to the number of single-layer network nodes, and obtain their specific rules.

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“…With the deepening of the research, scholars have found that most complex systems are not isolated, but are instead interdependent and interactive. Researchers introduced the concept of multi-layer networks to describe such networks and have made fruitful achievements in the field of research on multi-layer networks, such as accomplishing the synchronization of multi-layer complex networks [6][7][8][9][10][11][12], structure identification of multi-layer networks [13], and cascading failures and consensus of multi-layer networks [14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Robustness of Consensus of Two-Layer Ring Networks

Gao²,

Shang

et al. 2023

Symmetry

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The topology structure of multi-layer networks is highly correlated with the robustness of consensus. This paper investigates the influence of different interlayer edge connection patterns on the consensus of the two-layer ring networks. Two types of two-layer ring network models are first considered: one is a kind of two-layer ring network with two linked edges between layers (Networks-a), and the other is a kind of two-layer ring network with three linked edges between layers (Networks-b). Using the Laplacian spectrum, the consensus of the network model is derived. The simulation experiments are used to demonstrate the influence of different interlayer edge connection patterns on the consensus of networks. To determine the best edge connection pattern for Networks-a and Networks-b, the number of nodes in a single-layer ring network is denoted by n. The best edge connection pattern for Networks-a is 1 & [(n+2)/2]. Furthermore, n is subdivided into 3k,3k+1,3k+2, and the best edge connection patterns of Networks-b are near 1 & k+1 & 2k+1.

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Practical consensus for heterophilous multiagent networks with constrained states

Cited by 13 publications

References 34 publications

A Variable Photo-Model Method for Object Pose and Size Estimation with Stereo Vision in a Complex Home Scene

A Variable Photo-Model Method for Object Pose and Size Estimation with Stereo Vision in a Complex Home Scene

Analysis of the consensus of double-layer chain networks

Robustness of Consensus of Two-Layer Ring Networks

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