Hierarchical Cooperative Control for Multiagent Systems With Switching Directed Topologies

2015 ◽  
Vol 26 (10) ◽  
pp. 2453-2463 ◽  
Author(s):  
Jianqiang Hu ◽  
Jinde Cao
2020 ◽  
Vol 16 (1) ◽  
pp. 4-17 ◽  
Author(s):  
Hao Yang ◽  
Qing-Long Han ◽  
Xiaohua Ge ◽  
Lei Ding ◽  
Yuhang Xu ◽  
...  

2020 ◽  
Vol 34 (23) ◽  
pp. 2050240
Author(s):  
Xiao-Wen Zhao ◽  
Guangsong Han ◽  
Qiang Lai ◽  
Dandan Yue

The multiconsensus problem of first-order multiagent systems with directed topologies is studied. A novel consensus problem is introduced in multiagent systems — multiconsensus. The states of multiple agents in each subnetwork asymptotically converge to an individual consistent value in the presence of information exchanges among subnetworks. Linear multiconsensus protocols are proposed to solve the multiconsensus problem, and the matrix corresponding to the protocol is designed. Necessary and sufficient conditions are derived based on matrix theory, under which the stationary multiconsensus and dynamic multiconsensus can be reached. Simulations are provided to demonstrate the effectiveness of the theoretical results.


2007 ◽  
Vol 129 (5) ◽  
pp. 708-715 ◽  
Author(s):  
D. H. A. Maithripala ◽  
Suhada Jayasuriya ◽  
Mark J. Mears

Radar deception through phantom track generation using multiple electronic combat air vehicles is addressed, which serves as a motivating example for cooperative control of autonomous multiagent systems. A general framework to derive sufficient conditions for the existence of feasible solutions for an affine nonlinear control system comprising of a team of nonholonomic mobile agents having to satisfy actuator and interagent constraints is presented. Based on this feasibility analysis, an algorithm capable of generating trajectories online and in real time, for the phantom track generation problem, is developed. A rigorous treatment of the phantom track generation problem, which includes results on its accessibility, feasibility, local asymptotic straightening of trajectories, and a limited result on system controllability, is given. The basic approach to the algorithm based on the results developed here is presented along with simulation results, validating the proposed approach.


2014 ◽  
Vol 2014 ◽  
pp. 1-7
Author(s):  
Bo Liu ◽  
Li Wang ◽  
Dehui Sun ◽  
Xinmao Zhu

This paper investigates the consensus problem of multiagent systems with directed topologies. Different from the literatures, a new method, the Laplace transform, to study the consensus of multiagent systems with directed topology and communication time delay is proposed. The accurate state of the consensus center and the upper bound of the communication delay to make the agents reach consensus are given. It is proved that all the agents could aggregate and eventually form a cohesive cluster in finite time under certain conditions, and the consensus center is only determined by the initial states and the communication configuration among the agents. Finally, simulations are given to illustrate the theoretical results.


2013 ◽  
Vol 11 (6) ◽  
pp. 1122-1127 ◽  
Author(s):  
Guang-Song Han ◽  
Zhi-Hong Guan ◽  
Xin-Ming Cheng ◽  
Yonghong Wu ◽  
Feng Liu

2015 ◽  
Vol 2015 ◽  
pp. 1-8
Author(s):  
Fu Jiang ◽  
Xiaoyong Zhang ◽  
Wentao Yu ◽  
Heng Li ◽  
Jun Peng ◽  
...  

We propose a novel fault-tolerant cooperative control strategy for multiagent systems. A set of unknown input observers for each agent are constructed for fault detection. Then a real-time adaptive extremum seeking algorithm is utilized for adaptive approximation of fault parameter. We prove that the consensus can be still reached by regulating the interconnection weights and changing the connection topology of the fault agent. A numerical simulation example is given to illustrate the feasibility and effectiveness of the proposed method.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Xin Deng ◽  
Xiaoping Liu ◽  
Yang Cui ◽  
Cungen Liu

In this paper, an adaptive fuzzy containment condtrol is considered for nonlinear multiagent systems, in which it contains the unknown control coefficient and actuator fault. The uncertain nonlinear function has been approximated by fuzzy logic system (FLS). The unknown control coefficient and the remaining control rate of actuator fault can be solved by introducing a Nussbaum function. In order to avoid the repeated differentiations of the virtual controllers, first-order filters are added to the traditional backstepping control method. By designing the maximum norm of ideal adaptive parameters, only one adaptive parameter needs to be adjusted online for each agent itself. An adaptive fuzzy containment controller is constructed through the backstepping control technique and compensating signals. It is demonstrated that all the signals in nonlinear multiagent systems are bounded by designing adaptive fuzzy containment controller, and all followers can converge to the convex hull built by the leaders. The simulation studies can further confirm the effectiveness of the proposed control method in this paper.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 105507-105520
Author(s):  
Chih-Lyang Hwang ◽  
Hailay Berihu Abebe ◽  
Bor-Sen Chen ◽  
Fan Wu

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