Optimal path planning of multi-agent cooperative systems with rigid formation

09/15/2023
by   Ananda Rangan Narayanan, et al.
0

In this article, we consider the path-planning problem of a cooperative homogeneous robotic system with rigid formation. An optimal controller is designed for each agent in such rigid systems based on Pontryagin's minimum principle theory. We found that the optimal control for each agent is equivalent to the optimal control for the Center of Mass (CoM). This equivalence is then proved by using some analytical mechanics. Three examples are finally simulated to illustrate our theoretical results. One application could be utilizing this equivalence to simplify the original multi-agent optimal control problem.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/14/2022

SympOCnet: Solving optimal control problems with applications to high-dimensional multi-agent path planning problems

Solving high-dimensional optimal control problems in real-time is an imp...
research
09/24/2022

Cooperative Tuning of Multi-Agent Optimal Control Systems

This paper investigates the problem of cooperative tuning of multi-agent...
research
02/05/2018

Variational Principles for Optimal Control of Left-Invariant Multi-Agent Systems with Asymmetric Formation Constraints

We study an optimal control problem for a multi-agent system modeled by ...
research
09/28/2020

Compositionality of Linearly Solvable Optimal Control in Networked Multi-Agent Systems

In this paper, we discuss the methodology of generalizing the optimal co...
research
03/04/2020

Adaptive Online Distributed Optimal Control of Very-Large-Scale Robotic Systems

This paper presents an adaptive online distributed optimal control appro...
research
09/19/2019

Robust time-varying formation design for multi-agent systems with disturbances: Extended-state-observer method

Robust time-varying formation design problems for second-order multi-age...
research
11/10/2017

Cooperative control of multi-agent systems to locate source of an odor

This work targets the problem of odor source localization by multi-agent...

Please sign up or login with your details

Forgot password? Click here to reset