Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/159379
Title: Practical output consensus of nonlinear heterogeneous multi-agent systems with limited data rate
Authors: Ran, Maopeng
Xie, Lihua
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2021
Source: Ran, M. & Xie, L. (2021). Practical output consensus of nonlinear heterogeneous multi-agent systems with limited data rate. Automatica, 129, 109624-. https://dx.doi.org/10.1016/j.automatica.2021.109624
Journal: Automatica
Abstract: This paper investigates the consensus problem for nonlinear heterogeneous multi-agent systems with limited communication data rate. Each agent is modeled by a higher-order strict-feedback continuous-time system with unknown nonlinearities and external disturbance, and only the first state variable being measurable. Extended state observers (ESOs) are used to estimate the unmeasurable agent states and the unknown nonlinear dynamics. An ESO-based distributed output feedback protocol with dynamic encoding and decoding is then presented. It is shown that, for a connected undirected network, the proposed protocol guarantees practical output consensus, in which the steady-state consensus error can be made arbitrarily small. The ESO-based protocol also shapes the transient consensus performance, as it is capable of recovering the consensus performance of a linear counterpart with fully measurable states. Furthermore, we prove that for higher-order uncertain nonlinear multi-agent systems, consensus can be achieved with merely one bit information exchange between each pair of adjacent agents at each time step. Finally, simulations on third-order pendulum systems are given, which verify the theoretical results.
URI: https://hdl.handle.net/10356/159379
ISSN: 0005-1098
DOI: 10.1016/j.automatica.2021.109624
Schools: School of Electrical and Electronic Engineering 
Rights: © 2021 Elsevier Ltd. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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