Semi-global bipartite consensus tracking of singular multi-agent systems with input saturation

2021 ◽  
Vol 432 ◽  
pp. 183-193
Author(s):  
Zhen-Hua Zhu ◽  
Zhi-Hong Guan ◽  
Bin Hu ◽  
Ding-Xue Zhang ◽  
Xin-Ming Cheng ◽  
...  
Keyword(s):  
Input Saturation ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Consensus Tracking ◽  
Multi Agent ◽  
Bipartite Consensus

Consensus tracking of nonlinear multi-agent systems under input saturation with applications: A sector-based approach

2020 ◽  
Vol 107 ◽  
pp. 194-205 ◽  
Author(s):  
Ateeq ur Rehman ◽  
Muhammad Rehan ◽  
Muhammad Riaz ◽  
Muhammad Abid ◽  
Naeem Iqbal
Keyword(s):  
Input Saturation ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Consensus Tracking ◽  
Multi Agent

Adaptive consensus tracking for linear multi-agent systems with input saturation

2016 ◽  
Vol 38 (12) ◽  
pp. 1434-1441 ◽  
Author(s):  
Hongjun Chu ◽  
Weidong Zhang
Keyword(s):  
Input Saturation ◽  
Laplacian Matrix ◽  
Network Size ◽  
Global Information ◽  
Multi Agent Systems ◽  
Global Knowledge ◽  
Consensus Protocol ◽  
Agent Systems ◽  
Consensus Tracking ◽  
Multi Agent

This paper addresses the consensus protocol design problem for linear multi-agent systems with input saturation. Existing consensus protocols usually contain certain global information, such as network size or the spectrum of the Laplacian matrix, and this global knowledge is often unavailable to all agents. In this paper, based on only the agent dynamics and the relative states of neighbouring agents, a novel adaptive consensus protocol is designed by assigning a time-varying coupling weight to each node. This protocol has two advantages: it is independent of any global information, and hence is fully distributed; and it is implemented by actuators with input saturation constraints. By combining the low-gain feedback method and appropriate Lyapunov techniques, it is shown that our protocol can achieve the semi-global consensus tracking in a fully distributed fashion, under the mild assumptions on agent dynamics and the topology graph. The results are illustrated by numerical simulations

A novel bipartite consensus tracking scheme for unknown nonlinear multi-agent systems: Theoretical analysis and applications

2021 ◽  
pp. 095965182110609
Author(s):  
Huarong Zhao ◽  
Li Peng ◽  
Peiliang Wu ◽  
Hongnian Yu
Keyword(s):  
Tracking Error ◽  
Data Driven ◽  
Small Range ◽  
Distributed Data ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Consensus Tracking ◽  
Multi Agent ◽  
Bipartite Consensus ◽  
Virtual Leader

This article proposes a novel distributed data-driven bipartite consensus tracking scheme for bipartite consensus tracking problems of multi-agent systems with bounded disturbances and coopetition networks. The proposed scheme only uses the input/output data of each agent without requiring the agents’ dynamics. We obtain the equivalent dynamic linearization data model for a controlled plant using the dynamic linearization technique based on the pseudo partial derivative. Considering the cooperative and competitive interactions among agents, the proposed method ensures that agents with adversarial relationships implement bipartite consensus tracking tasks even if only a subset of agents can access the information from the virtual leader. Moreover, the strict proof process of convergence properties reveals that the tracking error coverages to a small range around the origin. We also establish a set of software and hardware platform to demonstrate the effectiveness of the proposed distributed data-driven bipartite consensus tracking method.

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