Consensus in multi-agent systems: a review

A Amirkhani, AH Barshooi - Artificial Intelligence Review, 2022 - Springer
This paper provides a review of the consensus problem as one of the most challenging
issues in the distributed control of the multi-agent systems (MASs). In this survey, firstly, the …

Data-driven control: Overview and perspectives

W Tang, P Daoutidis - 2022 American Control Conference …, 2022 - ieeexplore.ieee.org
Process systems are characterized by nonlinearity, uncertainty, large scales, and also the
need of pursuing both safety and economic optimality in operations. As a result they are …

Adaptive finite-time tracking control of nonlinear systems with dynamics uncertainties

H Wang, K Xu, H Zhang - IEEE Transactions on Automatic …, 2022 - ieeexplore.ieee.org
In this article, the problem of adaptive backstep** finite-time tracking control is
investigated for a class of strict-feedback nonlinear systems with unmodeled dynamics and …

Adaptive prescribed-time control for a class of uncertain nonlinear systems

C Hua, P Ning, K Li - IEEE Transactions on Automatic Control, 2021 - ieeexplore.ieee.org
This article focuses on the problem of prescribed-time control for a class of uncertain
nonlinear systems. First, a prescribed-time stability theorem is proposed by following the …

On model-free adaptive control and its stability analysis

Z Hou, S **
G Duan - International Journal of Systems Science, 2021 - Taylor & Francis
Three types of high-order system models with parametric uncertainties are introduced,
namely, the high-order fully actuated (HOFA) models, and the second-and high-order strict …

Adaptive backstep** control for nonlinear interconnected systems with prespecified-performance-driven output triggering

L Zhang, C Deng, WW Che, L An - Automatica, 2023 - Elsevier
This paper considers a class of nonlinear large-scale interconnected systems and proposes
an event-triggered decentralized controller by using adaptive output feedback backstep** …