Distributed Group Coordination of Random Communication Constrained Cyber-Physical Systems Using Cloud Edge Computing

Authors: hongru  ren
hui  ma
hongyi  li
Venue: IEEE_org_ICIST_2024_Conference
Published: 2024-08-15 03:05:37

Abstract: This long abstract studied the distributed group coordinated control problem of cyber-physical systems (CPSs) with multi-agent architecture. We build the distributed networked multi-group agent systems (NMGASs) with nonlinear and unknown dynamics via cloud edge computing. The common and challenging situations of random communication constraints in CPSs are considered, including network-induced delay, packet dropout, and packet disorder, which are treated as roundtrip time (RTT) delay. To actively compensate for RTT delay and achieve coordination among all agents, a data-driven cloud edge predicted control strategy is designed. This strategy only needs to obtain the I/O measurement data of the systems, and can automatically carry out adaptive learning, which has more extensive application scenarios compared to model-based control methods. Theoretical analysis yields the conditions of simultaneous stability and consensus of the closed-loop systems with the proposed strategy. Finally, the practical examples are provided to illustrate the effectiveness of the proposed strategy.

Main paper: 
 i. contribution: 
 Our study aims to tackle two key questions. Firstly, we aim to establish a novel communication structure for distributed NMASs in mixed networks. Secondly, we propose a datadriven cloud edge predicted control scheme to overcome the challenges imposed by random communication constraints. The main contributions of this long abstract are summarized as follows.1) The cloud edge computing is employed to construct the distributed networked multi-group agent systems (NMGASs). Agents are grouped based on network conditions, with each group being assigned to an edge node, and all edge nodes communicate with the cloud node. Parameter estimation is carried out in the edge nodes, while the control strategy is executed in the cloud node. Compared with [1] and [2] , which only utilized cloud computing to establish distributed NMGASs, this approach simplifies the network topology, reduces the information interaction between agents, and enhances the system's capabilities for handling large volumes of real-time data. 2) Our study extends the method of compensating communication constraints proposed in [3] to distributed NMGASs. In this long abstract, a data-driven cloud edge predicted control strategy is proposed to address random communication constraints in each transmission channel of distributed NMGASs and achieve effective coordination of all agents.3) The necessary and sufficient conditions of simultaneous consensus and stability of the distributed NMGASs with the data-driven cloud edge predicted control strategy are provided.For the practical cyber-physical systems located in mixed networks, data exchange between agents poses a significant challenge. Thus, the distributed NMGASs is established by leveraging cloud edge computing. The structure of distributed NMGASs using cloud edge computing is shown in Fig. 1 . Firstly, agents are categorised into different groups based on network conditions and every group of agents is allocated to a edge node. Then, all edge nodes are connected to a cloud node. Consequently, agents within a group can directly communicate with their respective edge nodes through the network, while all edge nodes collectively communicate with the cloud node.Fig. 2 gives the output trajectories of each group of agents and the reference signal to be tracked.  
 
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Reviews: review: title: title: This paper studies the distributed group coordinated control problem of cyber-physical systems (CPSs) with multi-agent architecture. There are the following questions need to be considered:
main_review: main_review: This paper studies the distributed group coordinated control problem of cyber-physical systems (CPSs) with multi-agent architecture. There are the following questions need to be considered:
1. Can you elaborate on the fundamental principles of cloud edge computing and how it builds the distributed networked multi-group agent systems (NMGASs) with nonlinear and unknown dynamics？ 2. The idea proposed in this paper is novel, and it is suggested to enrich the content to facilitate readers' understanding.
title: title: Review Results
main_review: main_review: This paper provides a study on the distributed group-coordinated control of cyber-physical systems with a multi-agent architecture, focusing on the challenges posed by random communication constraints such as network-induced delay, packet dropout and packet disorder. 

1.How does the cloud edge computing infrastructure enhance the performance of distributed NMGASs in comparison to traditional centralized or purely cloud-based approaches?

2.Can the proposed strategy be applied to CPSs with varying scales and complexities, or does it have limitations that restrict its applicability?

3.How does the cloud edge predicted control strategy compare in terms of efficiency and robustness to other existing model-based control methods?

4.Please provide the complete framework of this paper.
title: title: This long abstract studied the distributed group coordinated control problem of cyber-physical systems (CPSs) with multi-agent architecture. The feasibility of the designed control approach is proven via the simulation example. However, the following suggestions need to be considered in the revised manuscript to further improve the quality of this paper.
main_review: main_review: 1. How does the proposed approach simplify the network topology compared to the methods in [1] and [2]? 
2. In what ways does the reduction of information interaction between agents contribute to the handling of large volumes of real-time data? 
3. Please carefully check the grammar errors in this paper to ensure readability and fluency for the readers.