Consensus for multi-agent nonlinear systems: A Carleman approximation approach
DOI
https://doi.org/10.1109/CCAC.2017.8276388
Document Type
Conference Proceeding
Publication Date
1-30-2018
Publication Title
2017 IEEE 3rd Colombian Conference on Automatic Control, CCAC 2017 - Conference Proceedings
Abstract
Technological systems are becoming bigger and more complex, which has awakened the interest of developing new tools of cooperative control. Distributed consensus protocols are polices based only on local information that allows the implementation of cooperative control in multi-agent systems. In this paper, we proposed a new method to deal with the consensus problem with agents that presents nonlinear dynamics. In contrast to classical linearization at an operation point, we proposed a Carleman approximation for a generic nonlinear dynamic system, where the control in real time is improved. Simulation results for a multi-agent nonlinear system show the efficiency and performance of the designed methodology.
Volume
2018-January
First Page
1
Last Page
5
ISBN
9781538603987
Recommended Citation
Salazar-Caceres, Fabian; Tellez-Castro, Duvan; and Mojica-Nava, Eduardo, "Consensus for multi-agent nonlinear systems: A Carleman approximation approach" (2018). Scopus Unisalle. 241.
https://ciencia.lasalle.edu.co/scopus_unisalle/241
Identifier
SCOPUS_ID:85047420927