scholarly journals Multiconsensus of Second-Order Multiagent Systems with Input Delays

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Jie Chen ◽  
Ming Chi ◽  
Zhi-Hong Guan ◽  
Rui-Quan Liao ◽  
Ding-Xue Zhang
Keyword(s):  
Hopf Bifurcation ◽  
Theoretical Analysis ◽  
Multiagent Systems ◽  
Upper Bound ◽  
Multiagent System ◽  
Second Order ◽  
Matrix Analysis ◽  
Simulation Results ◽  
Input Delays ◽  
Double Integrator

The multiconsensus problem of double-integrator dynamic multiagent systems has been investigated. Firstly, the dynamic multiconsensus, the static multiconsensus, and the periodic multiconsensus are considered as three cases of multiconsensus, respectively, in which the final multiconsensus convergence states are established by using matrix analysis. Secondly, as for the multiagent system with input delays, the maximal allowable upper bound of the delays is obtained by employing Hopf bifurcation of delayed networks theory. Finally, simulation results are presented to verify the theoretical analysis.

scholarly journals Second-Order Consensus in Multiagent Systems via Nonlinear Protocol

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Huan Pan ◽  
Xiaohong Nian ◽  
Ling Guo
Keyword(s):  
Theoretical Analysis ◽  
Multiagent Systems ◽  
Invariance Principle ◽  
Lyapunov Functions ◽  
Multiagent System ◽  
Second Order ◽  
General Linear ◽  
Reference Velocity ◽  
Communication Topology ◽  
Lasalle's Invariance Principle

This paper focuses on theoretical analysis of second-order consensus in multiagent system. As an extension of the general linear protocol, a nonlinear protocol is designed for multiagent system with undirected communication topology. The nonlinear protocol is also applied to achieve reference velocity consensus. Through choosing the appropriate Lyapunov functions and using LaSalle’s invariance principle, some consensus conditions are derived. Simulation examples are provided to demonstrate the effectiveness of the proposed results.

scholarly journals Bipartite Consensus of Heterogeneous Multiagent Systems with Diverse Input Delays

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Hongtao Ye ◽  
Zhongqiu Chen ◽  
Wenguang Luo ◽  
Jiayan Wen ◽  
Kene Li
Keyword(s):  
Theoretical Analysis ◽  
Multiagent Systems ◽  
Matrix Theory ◽  
Frequency Domain Analysis ◽  
Upper Bounds ◽  
Consensus Problem ◽  
The Novel ◽  
First Order ◽  
Bipartite Consensus ◽  
Input Delays

This paper investigates the bipartite consensus problem of heterogeneous multiagent systems with diverse input delays. Based on the systems composed of first-order and second-order agents, the novel control protocols are designed. Using frequency-domain analysis and matrix theory, the corresponding upper bounds of the allowable delays are obtained under the undirected topology and directed topology, respectively. Finally, simulation examples are given to verify the theoretical analysis.

scholarly journals Consensus Congestion Control in Multirouter Networks Based on Multiagent System

Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Xinhao Yang ◽  
Sheng Xu ◽  
Ze Li
Keyword(s):  
Congestion Control ◽  
Multiagent Systems ◽  
Traffic Congestion ◽  
Multiagent System ◽  
The Internet ◽  
Network Congestion ◽  
Network Resources ◽  
Simulation Results ◽  
Systems Simulation

Due to the unbalance distribution of network resources and network traffic, congestion is an inherent property of the Internet. The consensus congestion controller based on the multiagent system theory is designed for the multirouter topology, which improves the performance of the whole networks. Based on the analysis of the causes of congestion, the topology of multirouter networks is modeled based on the graph theory and the network congestion control problem is described as a consensus problem in multiagent systems. Simulation results by MATLAB and Ns2 indicate that the proposed algorithm maintains a high throughput and a low packet drip ratio and improves the quality of the service in the complex network environment.

scholarly journals Controlling Hyper Chaos with Feedback of Dynamical Variables

2003 ◽  
Vol 17 (22n24) ◽  
pp. 4272-4277 ◽  
Author(s):  
Xiao-Shu Luo ◽  
Bing-Hong Wang
Keyword(s):  
Numerical Simulation ◽  
Hopf Bifurcation ◽  
Theoretical Analysis ◽  
Chaotic Attractors ◽  
Chaotic Circuit ◽  
Controlled System ◽  
Controlling Chaos ◽  
Simulation Results ◽  
System Variables ◽  
Proportional Feedback

We propose a method for controlling chaos and hyper-chaos by applying continuous proportional feedback to the system variables and their derivatives. The method has been applied successfully in six-order coupled Chua's hyper-chaotic circuit system. The theoretical analysis and numerical simulation results show that unstable fixed points embedded in hyper-chaotic attractors can be stabilized and Hopf bifurcation can be observed for the controlled system.

scholarly journals Fast Consensus Tracking of Multiagent Systems with Diverse Communication Delays and Input Delays

2014 ◽  
Vol 2014 ◽  
pp. 1-10
Author(s):  
Chun-xi Yang ◽  
Wei-xing Hong ◽  
Ling-yun Huang ◽  
Hua Wang
Keyword(s):  
Genetic Algorithm ◽  
Multiagent Systems ◽  
Frequency Domain Analysis ◽  
Convergence Speed ◽  
Sufficient Condition ◽  
Communication Delays ◽  
Tracking Problem ◽  
Consensus Tracking ◽  
Simulation Results ◽  
Input Delays

The consensus tracking problem for discrete-time multiagent systems with input and communication delays is studied. A sufficient condition is obtained over a directed graph based on the frequency-domain analysis. Furthermore, a fast decentralized consensus tracking conditions based on incrementPIDalgorithm are discussed for improving convergence speed of the multiagent systems. Based on this result, genetic algorithm is introduced to construct incrementPIDbased on genetic algorithm for obtaining optimization consensus tracking performance. Finally, a numerable example is given to compare convergence speed of three tracking algorithms in the same condition. Simulation results show the effectiveness of the proposed algorithm.

scholarly journals Cucker-Smale Flocking with Bounded Cohesive and Repulsive Forces

2013 ◽  
Vol 2013 ◽  
pp. 1-9
Author(s):  
Qiang Song ◽  
Fang Liu ◽  
Jinde Cao ◽  
Jianlong Qiu
Keyword(s):  
Theoretical Analysis ◽  
Multiagent Systems ◽  
Initial Energy ◽  
Second Order ◽  
Initial State ◽  
Numerical Examples ◽  
Mild Conditions ◽  
Two Agents ◽  
Repulsive Forces

This paper proposes two Cucker-Smale-type flocking models by introducing both cohesive and repulsive forces to second-order multiagent systems. Under some mild conditions on the initial state of the flocking system, it is shown that the velocity consensus of the agents can be reached independent of the parameter which describes the decay of communication rates. In particular, the collision between any two agents can always be avoided by designing an appropriate bounded repulsive function based on the initial energy of the flock. Numerical examples are given to demonstrate the effectiveness of the theoretical analysis.

Consensus Analysis and Formation Control of Second-Order Multiagent Systems Via Nonlinear Protocol

2013 ◽  
Vol 8 (3) ◽  
Author(s):  
Huan Pan ◽  
Xiaohong Nian ◽  
Ling Guo
Keyword(s):  
Multiagent Systems ◽  
Invariance Principle ◽  
Control Strategy ◽  
Formation Control ◽  
Multiagent System ◽  
Sufficient Conditions ◽  
Second Order ◽  
General Linear ◽  
Communication Graph ◽  
Consensus Analysis

This paper mainly investigates consensus and formation control of second-order multiagent system with undirected communication graph. A nonlinear protocol is proposed as an extension of general linear protocols that have been widely studied. In order to achieve formation control, a formation control strategy corresponding to the nonlinear protocol is designed too. The sufficient conditions of consensus and formation are derived based on LaSalle's invariance principle. Simulation examples are provided to illustrate that the second-order multiagent with the nonlinear protocol can achieve consensus and formation.

scholarly journals On the Observability of Leader-Based Multiagent Systems with Fixed Topology

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Bo Liu ◽  
Ningsheng Xu ◽  
Housheng Su ◽  
Licheng Wu ◽  
Jiahui Bai
Keyword(s):  
Multiagent Systems ◽  
Second Order ◽  
High Order ◽  
Numerical Examples ◽  
First Order ◽  
Leader Following ◽  
Fixed Topology ◽  
Agreement Protocols ◽  
Theoretical Results ◽  
Double Integrator

This paper investigates the observability of first-order, second-order, and high-order leader-based multiagent systems (MASs) with fixed topology, respectively. Some new algebraic and graphical characterizations of the observability for the first-order MASs are established based on agreement protocols. Moreover, under the same leader-following framework with the predefined topology and leader assignment, the observability conditions for systems of double-integrator and high-integrator agents are also obtained. Finally, the effectiveness of the theoretical results is verified by numerical examples and simulations.

scholarly journals Controllability of Second-Order Multiagent Systems with Multiple Leaders and General Dynamics

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Bo Liu ◽  
Hongke Feng ◽  
Li Wang ◽  
Rong Li ◽  
Junyan Yu ◽  
...  
Keyword(s):  
Multiagent Systems ◽  
Multiagent System ◽  
Necessary Conditions ◽  
Second Order ◽  
The Other ◽  
Numerical Examples ◽  
General Dynamics ◽  
Sufficient And Necessary Conditions ◽  
Multiple Leaders ◽  
Theoretical Results

This paper proposes a new second-order discrete-time multiagent model and addresses the controllability of second-order multiagent system with multiple leaders and general dynamics. The leaders play an important role in governing the other member agents to achieve any desired configuration. Some sufficient and necessary conditions are given for the controllability of the second-order multiagent system. Moreover, the speed controllability of the second-order multiagent system with general dynamics is discussed. Particularly, it is shown that the controllability of the whole system relies on the number of leaders and the connectivity between the leaders and the members. Numerical examples illustrate the theoretical results.

Sign in / Sign up

Export Citation Format

Share Document