scholarly journals Design and Analysis of Optimization Algorithms for Multi-agent Railway Control System

2014 ◽  
Vol 37 ◽  
pp. 211-219 ◽  
Author(s):  
N.A. Kuznetsov ◽  
I.K. Minashina ◽  
F.F. Pashchenko ◽  
N.G. Ryabykh ◽  
E.M. Zakharova
Keyword(s):  
Control System ◽  
Optimization Algorithms ◽  
Multi Agent

Research on coordination control system in greenhouse with multi-agent technology

2016 ◽  
Author(s):  
Qi Li ◽  
Yifei Chen ◽  
Manling Wu ◽  
Shangfeng Du ◽  
Qiaoxue Dong ◽  
...  
Keyword(s):  
Control System ◽  
Agent Technology ◽  
Coordination Control ◽  
Multi Agent

Multi-Agent Optimization Design for Autonomous Lagrangian Systems

2016 ◽  
Vol 04 (01) ◽  
pp. 5-13 ◽  
Author(s):  
Zhenhua Deng ◽  
Yiguang Hong
Keyword(s):  
Continuous Time ◽  
Optimization Design ◽  
Exponential Convergence ◽  
Distributed Optimization ◽  
Optimization Algorithms ◽  
Lagrangian Systems ◽  
Uncertain Parameters ◽  
Optimization Task ◽  
Optimization Control ◽  
Multi Agent

In this paper, distributed optimization control for a group of autonomous Lagrangian systems is studied to achieve an optimization task with local cost functions. To solve the problem, two continuous-time distributed optimization algorithms are designed for multiple heterogeneous Lagrangian agents with uncertain parameters. The proposed algorithms are proved to be effective for those heterogeneous nonlinear agents to achieve the optimization solution in the semi-global sense, even with the exponential convergence rate. Moreover, simulation adequately illustrates the effectiveness of our optimization algorithms.

Sign in / Sign up

Export Citation Format

Share Document