Flocking of mobile agents while preserving connectivity based on finite potential functions

2010 ◽  
Author(s):  
Lin Wang ◽  
Xiaofan Wang
Keyword(s):  
Mobile Agents ◽  
Potential Functions

Control of Multiple Mobile Agents Via Artificial Potential Functions and Random Motion

2007 ◽  
Author(s):  
Manish Kumar ◽  
Devendra P. Garg ◽  
Randy Zachery
Keyword(s):  
Potential Function ◽  
Mobile Agents ◽  
Formation Control ◽  
Cluster Formation ◽  
Limited Range ◽  
Random Motion ◽  
Potential Functions ◽  
Random Behavior ◽  
Artificial Potential Function ◽  
Multiple Mobile Agents

This paper investigates the effectiveness of designed random behavior in cooperative formation control of multiple mobile agents. A method based on artificial potential functions provides a framework for decentralized control of their formation. However, it implies heavy communication costs. The communication requirement can be replaced by onboard sensors. The onboard sensors have limited range and provide only local information, and may result in the formation of isolated clusters. This paper proposes to introduce a component representing random motion in the artificial potential function formulation of the formation control problem. The introduction of the random behavior component results in a better chance of global cluster formation. The paper uses an agent model that includes both position and orientation, and formulates the dynamic equations to incorporate that model in artificial potential function approach. The effectiveness of the proposed method is verified via extensive simulations performed on a group of mobile agents and leaders.

scholarly journals Flocking for Multiple Ellipsoidal Agents with Limited Communication Ranges

ISRN Robotics ◽  
2013 ◽  
Vol 2013 ◽  
pp. 1-13
Author(s):  
K. D. Do
Keyword(s):  
Mobile Agents ◽  
Potential Functions ◽  
Control Algorithms ◽  
Asymptotic Convergence ◽  
Flock Size ◽  
Separation Condition ◽  
Step Functions ◽  
Limited Communication ◽  
Ellipsoidal Shape ◽  
Distributed Controllers

This paper contributes a design of distributed controllers for flocking of mobile agents with an ellipsoidal shape and a limited communication range. A separation condition for ellipsoidal agents is first derived. Smooth step functions are then introduced. These functions and the separation condition between the ellipsoidal agents are embedded in novel pairwise potential functions to design flocking control algorithms. The proposed flocking design results in (1) smooth controllers despite of the agents’ limited communication ranges, (2) no collisions between any agents, (3) asymptotic convergence of each agent’s generalized velocity to a desired velocity, and (4) boundedness of the flock size, defined as the sum of all distances between the agents, by a constant.

FUNCTIONAL COORDINATION OF METHODS OF ORGANIZATION OF ADAPTIVE DATA COLLECTION PROCESSES AND METHODS OF SPATIAL SELF-ORGANIZATION OF MOBILE AGENTS

2017 ◽  
Vol 2 (1) ◽  
pp. 27-32
Author(s):  
Botchkaryov. A. ◽  
Keyword(s):  
Data Collection ◽  
Key Words ◽  
Motion Control ◽  
Mobile Agent ◽  
Mobile Agents ◽  
Parallel Execution ◽  
Self Organization ◽  
Data Collection Process ◽  
Speed Up ◽  
Adaptive Data Collection

The way of functional coordination of methods of organization adaptive data collection processes and methods of spatial self-organization of mobile agents by parallel execution of the corresponding data collection processes and the process of motion control of a mobile agent using the proposed protocol of their interaction and the algorithm of parallel execution planning is proposed. The method allows to speed up the calculations in the decision block of the mobile agent by an average of 40.6%. Key words: functional coordination, adaptive data collection process, spatial self-organization, mobile agents

Introduction

2018 ◽  
Author(s):  
Tim Lewens
Keyword(s):  
Social Sciences ◽  
Human Nature ◽  
Potential Functions ◽  
Human Psychology ◽  
Human Culture ◽  
The Third ◽  
Current State ◽  
Large Numbers ◽  
The Social ◽  
Compare And Contrast

Many evolutionary theorists have enthusiastically embraced human nature, but large numbers of evolutionists have also rejected it. It is also important to recognize the nuanced views on human nature that come from the side of the social sciences. This introduction provides an overview of the current state of the human nature debate, from the anti-essentialist consensus to the possibility of a Gray’s Anatomy of human psychology. Three potential functions for the notion of species nature are identified. The first is diagnostic, assigning an organism to the correct species. The second is species-comparative, allowing us to compare and contrast different species. The third function is contrastive, establishing human nature as a foil for human culture. The Introduction concludes with a brief synopsis of each chapter.

Sign in / Sign up

Export Citation Format

Share Document