z-logo
open-access-imgOpen Access
Distributed Containment Control of Continuous-Time Multiagent Systems With Nonconvex Control Input Constraints
Author(s) -
Chunhua Yang,
Mengmeng Duan,
Peng Lin,
Wei Ren,
Weihua Gui
Publication year - 2018
Publication title -
ieee transactions on industrial electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.393
H-Index - 287
eISSN - 1557-9948
pISSN - 0278-0046
DOI - 10.1109/tie.2018.2880709
Subject(s) - containment (computer programming) , multi agent system , convex hull , bounded function , double integrator , control (management) , computer science , interval (graph theory) , path (computing) , mathematical optimization , control theory (sociology) , nonlinear system , projection (relational algebra) , regular polygon , mathematics , algorithm , artificial intelligence , mathematical analysis , physics , geometry , combinatorics , quantum mechanics , programming language
In this paper, we investigate the distributed constrained containment control problem for continuous-time multiagent systems with nonconvex control input constraints. A nonlinear projection containment control algorithm for followers with double-integrator continuous-time dynamics is proposed. We show that each follower finally stays in the convex hull formed by multiple stationary leaders, provided that for each follower, there exists at least one directed path from leaders to it in the union of the graphs in each bounded time interval. Finally, a simulation example is implemented to illustrate theoretical results.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom