Formation Scaling Control Using the Stress Matrix (I)

Qingkai Yang, Ming Cao, Zhiyong Sun, Hao Fang, Jie Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

This paper investigates the formation scaling control problem for multi-agent systems. In the existing literature, it is known that utilizing the formation's stress matrix, the scaling of the whole formation in IRd can be achieved by only controlling d pairs of agents whose position vectors span IRd, under the assumption that each of the d pairs of agents has the exact knowledge of the formation scaling parameter. In this paper, this stringent assumption is relaxed and we require only one pair of agents share the scaling information. We design a new class of distributed control laws by employing stresses and orthogonal projections such that the agents are steered to prescribed relative positions with respect to their neighbors. We show that if the corresponding stress matrix admits a generic universally rigid framework, the equilibrium of the closed-loop system is constrained only to the translation and scaling of the given configuration among all the possible affine transformations. Simulations are provided to validate the theoretical results.
Original languageEnglish
Title of host publicationProceedings of the 56th IEEE Conference on Decision and Control, 2017
PublisherIEEEXplore
Publication statusPublished - 2017
Event56th IEEE Conference on Decision and Control - Melbourne, Australia
Duration: 12-Dec-201715-Dec-2017

Conference

Conference56th IEEE Conference on Decision and Control
Country/TerritoryAustralia
CityMelbourne
Period12/12/201715/12/2017

Cite this