Xu, Hao (University of Nevada, Reno), Espinoza Quesada, Eduardo Steed (Universidad Politécnica de Pachuca), GARCIA CARRILLO, Luis Rodolfo (Texas A&M University - Corpus Christi), Frey, Andreas (Technical University of Ingolstadt), MUÑOZ PALACIOS, FILIBERTO (UNIVERSIDAD POLITÉCNICA DE PACHUCA)

Adaptive Model-Based Event-Triggered Consensus Control for Multi-Agent Systems with Unknown System Dynamics

Scheduled for presentation during the "UAS Applications - IX" (FrC4), Friday, June 16, 2017, 17:00−17:20, Lummus Island

2017 International Conference on Unmanned Aircraft Systems, June 13-16, 2017, Miami Marriott Biscayne Bay, Miami, FL,

This information is tentative and subject to change. Compiled on April 26, 2024

Abstract

The model-based event-triggered strategies have been developed as an alternate for Zero-Order-Hold (ZOH) based event triggered scheme in continuous-time for multi-agent systems (MAS). However, traditional event-triggered schemes need the knowledge of system dynamics whereas model-based schemes are sensitive to model uncertainties. Therefore, in this paper, a novel distributed event-triggered consensus control schemes are proposed for MAS with uncertain system dynamics. In the proposed approach, the system is considered completely unknown and the MAS model or state estimator is updated online. The update law for tuning the unknown parameters of the MAS model, and distributed event triggering condition are derived. Lyapunov theory is used to demonstrate that all the closed-loop signals and estimated MAS model parameters are asymptotically stable and consensus. Computer-aid simulation results are included to demonstrate the effectiveness of the proposed approach. Additionally preliminary work towards the implementation of the proposed strategies on a real-time MAS platform is described in order to emphasize the implications and the complexity of developing practical solutions for real applications.