A physicochemically inspired approach to flocking control of multiagent system

Sun, Guibin; Zhou, Rui; Di, Bin; Hu, Yan

doi:10.1007/s11071-020-06062-y

Cited by 8 publications

(3 citation statements)

References 42 publications

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“…According to the theory of dissipative structures in the theory of the complex system science, a complex system must have four characteristics-openness of the system, a far distance from equilibrium, nonlinear interaction, and fluctuation change-in order to form a dynamic dissipative structure [54].…”

Section: H12mentioning

confidence: 99%

The Interaction Mechanism and Dynamic Evolution of Digital Green Innovation in the Integrated Green Building Supply Chain

Dong

Yin

Zhang

2023

Systems

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Although building enterprises are actively developing towards the direction of an integrated building supply chain (IBSC), they still face many difficulties in digital green innovation (DGI) activities. The purpose of this study is to reveal the interaction mechanism between the digital integration degree, green knowledge collaboration ability, and the DGI performance of IBSC enterprises in DGI activities under the influence of environmental characteristics of the integrated supply chain. In this study, firstly, a hierarchical regression method and a structural equation model are used to empirically study the static mechanism of DGI among enterprises in the IBSC. Secondly, this study adopts a complex system theory to construct a logistic dynamic analysis model to explore a dynamic evolution mechanism. The results of the study are as follows. (i) The digital integration degree and green knowledge synergy ability of the IBSC are conducive to improvements in digital green innovation performance among the enterprises involved in this chain. The digital integration degree of this chain is the dominant factor affecting the performance of digital green innovation among these enterprises. (ii) The digital network capability of this chain has a significant impact on its digital integration degree but has no significant effect on green knowledge synergy ability. The quality of digital relationships in the IBSC affects both the digital integration degree and green knowledge synergy ability. It has a higher impact on the digital integration degree than on the synergy ability of green knowledge. The resilience of the IBSC can effectively promote the improvement of digital integration and green knowledge synergy ability, but has no significant effect on digital green innovation performance. (iii) In the early stage of an IBSC, the effect of the digital integration degree on DGI performance is more obvious. Over the long term, under the effect of different digital relationship qualities of the IBSC, green knowledge collaboration ability plays a pivotal role. Improving this ability is conducive to the continuous improvement of DGI performance.

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Section: H12mentioning

confidence: 99%

The Interaction Mechanism and Dynamic Evolution of Digital Green Innovation in the Integrated Green Building Supply Chain

Dong

Yin

Zhang

2023

Systems

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“…Because maintaining formation stability is crucial for ship formation, inspired by the behaviors of birds gathering, ant colonies, and bee swarms, researchers have proposed various formation structures, such as leader-follower, virtual structure [35][36][37][38][39], and behavior-based methods [40][41][42].…”

Section: Introductionmentioning

confidence: 99%

Ship Formation Algorithm Based on the Leader–Follower Method

Meng

Chen³

et al. 2023

IEEE Access

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In recent years, marine engineers have increasingly relied on multiship collaborative work to complete complex tasks at sea and improve maritime transport efficiency. Ship formation significantly contributes to the maintenance of stability during multiship-coordinated operations, but establishing the formation structure while ensuring the safety of each ship remains challenging. Therefore, this study proposes an improved leader-follower-based formation algorithm as a solution to this issue. First, the fast marching square method was used for global static path planning. The leader-follower formation control method then enabled the path tracking of the follower ship to the leader ship. Finally, an improved artificial potential field method was used for local collision avoidance, and virtual obstacles were added to improve the situation in which the ship probably entered a local minimum point. The experimental results revealed that the proposed algorithm could plan a route with time, smoothness, and safety advantages for the formation leader and quickly form a stable formation. Notably, the ship can quickly initiate collision avoidance operations when it encounters an obstacle posing a collision risk.INDEX TERMS Artificial potential field method, fast marching square method, formation of ships, leaderfollower method, local collision, path planning.

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“…In the past few decades, the cooperative control of multi-agent systems (MASs) has aroused much concern due to its broad applications in diverse fields, such as distributed micro-grid systems [1], multi-robotic systems [2] and multiple unmanned aerial systems [3]. From the above-mentioned research, some significant theoretical results are involved, such as flocking [4], consensus [5][6][7][8][9][10], coordinated detection [11,12] and formation control [13][14][15][16]. Consensus control, as one of the most important problems for the cooperative control of MASs, is a group of agents working together to achieve synchronization of certain concerned states.…”

Section: Introductionmentioning

confidence: 99%

Guaranteed‐performance consensus tracking for one‐sided Lipschitz non‐linear multi‐agent systems with switching communication topologies

Quan

Yang

et al. 2021

IET Control Theory & Appl

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The guaranteed-performance consensus tracking (GPCT) for non-linear multi-agent systems (MASs) with switching communication topologies is presented. Different from the existing work, the non-linear range of one-sided Lipschitz non-linear MASs is wider than the Lipschitz ones, and the upper bound of the tracking performance is given while achieving the consensus tracking. First, a guaranteed-performance tracking control protocol is proposed, where consensus tracking regulation performance is involved. Then, by the linear matrix inequality (LMI), sufficient conditions are provided to achieve the GPCT under the one-sided Lipschitz and quadratic inner bounded conditions. It is worth noting that a special LMI structure is directly constructed by introducing these two conditions to simplify the complexity of the derivation. Finally, two simulation examples are provided to demonstrate the effectiveness of the proposed results.

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A physicochemically inspired approach to flocking control of multiagent system

Cited by 8 publications

References 42 publications

The Interaction Mechanism and Dynamic Evolution of Digital Green Innovation in the Integrated Green Building Supply Chain

The Interaction Mechanism and Dynamic Evolution of Digital Green Innovation in the Integrated Green Building Supply Chain

Ship Formation Algorithm Based on the Leader–Follower Method

Guaranteed‐performance consensus tracking for one‐sided Lipschitz non‐linear multi‐agent systems with switching communication topologies

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