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 Impulsive Flocking of Dynamical Multiagent Systems with External Disturbances

2017 ◽  
Vol 2017 ◽  
pp. 1-6
Author(s):  
Fujun Han ◽  
Yize Yang ◽  
Hong-Yong Yang
Keyword(s):  
Multiagent Systems ◽  
Disturbance Observer ◽  
Impulsive Control ◽  
Sufficient Condition ◽  
Complex Environment ◽  
Theoretical Conclusion ◽  
External Disturbances ◽  
Exogenous Disturbances ◽  
Simulation Results ◽  
Flocking Motion

Flocking motion of multiagent systems is influenced by various external disturbances in complex environment. By applying disturbance observer, flocking of multiagent systems with exogenous disturbances is studied. Based on the robust features of impulsive control, a distributed impulsive control protocol is presented with disturbance observer, and flocking motion of multiagent systems is analyzed. Moreover, a sufficient condition is obtained to ensure the flocking motion of multiagent systems following a leader. Finally, simulation results show the validity of the theoretical conclusion.

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 Group Consensus for Discrete-Time Heterogeneous Multiagent Systems with Input and Communication Delays

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Yiliu Jiang ◽  
Lianghao Ji ◽  
Xingcheng Pu ◽  
Qun Liu
Keyword(s):  
Multiagent Systems ◽  
Discrete Time ◽  
Time Delays ◽  
Matrix Theory ◽  
Sufficient Conditions ◽  
Frequency Domain Analysis ◽  
Communication Delays ◽  
Group Consensus ◽  
Cooperative Relationships ◽  
Input Time

Group consensus seeking is investigated for a class of discrete-time heterogeneous multiagent systems composed of first-order and second-order agents with both communication and input time delays. Considering two types of system topologies, novel protocols based on the competitive and cooperative relationships among the agents are presented, respectively. By matrix theory and frequency domain analysis method, the sufficient conditions solving consensus problem are obtained. The results show that the achievement of group consensus is bound up with the input time delays, coupling weights between the agents and the system’s control parameters, but it is irrelevant to the communication delays. Finally, numerical simulations are presented to illustrate the correctness of the theoretical results.

The Missile Fault Diagnosis Expert System Based on GA-BPNN

2011 ◽  
Vol 255-260 ◽  
pp. 2164-2168
Author(s):  
Jian Xiao Zou ◽  
Yao Zhang ◽  
Gang Zheng
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Fault Diagnosis ◽  
Expert System ◽  
Bp Neural Network ◽  
Optimal Solution ◽  
Convergence Speed ◽  
Diagnosis Accuracy ◽  
Simulation Results ◽  
Locally Optimal Solution

To improve the performance of fault diagnosis expert system based on ANN IN fields of convergence speed, locally optimal solution and the low accuracy, an missile fault diagnosis expert system based on GA-BPNN is proposed in this paper. The genetic algorithm (GA) is adopt to optimize the weight and threshold of matrix while BP neural network realizes the non-linear map relations between failure feature and failure cause. The simulation results indicate that the method proposed in this paper significantly increase the convergence speed and globally optimal solution of neural network, the fault diagnosis accuracy of expert system for a missile has been improved also.

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 Leader-Following Consensus in Networks of Agents with Nonuniform Time-Varying Delays

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Zhao-Jun Tang ◽  
Ting-Zhu Huang ◽  
Jiang-Ping Hu ◽  
Jin-Liang Shao
Keyword(s):  
Sufficient Condition ◽  
Time Varying ◽  
Consensus Problem ◽  
Communication Delays ◽  
Necessary And Sufficient Condition ◽  
Leader Following ◽  
Fixed Topology ◽  
Simulation Results ◽  
Necessary And Sufficient ◽  
Theoretical Results

This paper is concerned with a leader-following consensus problem for networks of agents with fixed and switching topologies as well as nonuniform time-varying communication delays. By employing Lyapunov-Razumikhin function, a necessary and sufficient condition is derived in the case of fixed topology, and a sufficient condition is obtained in the case when the interconnection topology is switched and satisfies certain condition. Simulation results are provided to illustrate the theoretical results.

Path Planning of Stacker for Automated Building Materials Warehouse Based on the Improved Adaptive Genetic Algorithm

2013 ◽  
Vol 325-326 ◽  
pp. 1475-1478
Author(s):  
Shen Li
Keyword(s):  
Genetic Algorithm ◽  
Path Planning ◽  
Building Materials ◽  
Convergence Speed ◽  
Adaptive Genetic Algorithm ◽  
Work Efficiency ◽  
Early Maturity ◽  
Slow Convergence ◽  
Simulation Results

In this paper, the improved adaptive genetic algorithm has been presented, which not only can overcome the early maturity and slow convergence speed of traditional genetic algorithm, and greatly improve the efficiency of genetic algorithm. This method can improve the quality of stacker path planning and work efficiency for modern automated building materials warehouse. Using the genetic algorithm toolbox of Matlab, the simulation results can further verified the feasibility and effectiveness of this method.

scholarly journals Consensus Problem of Second-order Dynamic Agents with Heterogeneous Input and Communication Delays

2010 ◽  
Vol 5 (3) ◽  
pp. 325 ◽  
Author(s):  
Cheng-Lin Liu ◽  
Fei Liu
Keyword(s):  
Frequency Domain Analysis ◽  
Second Order ◽  
Consensus Problem ◽  
Communication Delays ◽  
Symmetric Graph ◽  
Multi Agent Systems ◽  
Damping Term ◽  
Agent Systems ◽  
Multi Agent ◽  
Input Delays

Consensus problem of second-order multi-agent systems with velocity damping term in agent’s dynamics is investigated. Based on frequency-domain analysis, decentralized consensus condition, which depends on the input delays, is obtained for the system based on undirected and symmetric graph with heterogeneous input delays. For the system based on directed graph with both heterogeneous input delays and communication delays, decentralized consensus condition, which is dependent on the input delays but independent on the communication delays, is also obtained. Simulations illustrate the correctness of the results.

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