In this paper, distributed adaptive consensus for a class of strict-feedback nonlinear systems under directed topology condition is investigated. Both leader–follower and leaderless …
H Wang, W Ren, W Yu, D Zhang - Automatica, 2021 - Elsevier
In this paper, the distributed consensus control problem is considered for a class of disturbed second-order multi-agent systems (MASs) with directed networks. Both leaderless …
F Zhu, Y Fu, TN Dinh - Automatica, 2023 - Elsevier
In this paper, for a linear system with unknown input, a novelty unknown input observer (UIO) which can produce the asymptotic system state estimation and unknown input …
Resource allocation and scheduling in multi-agent systems present challenges due to complex interactions and decentralization. This survey paper provides a comprehensive …
L Ma, F Zhu, J Zhang, X Zhao - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this article, a leader–follower asymptotic consensus control strategy is developed for a class of linear multiagent systems (MASs) with unknown external disturbances and …
J Lei, HF Chen, HT Fang - Systems & Control Letters, 2016 - Elsevier
The paper studies a distributed constrained optimization problem, where multiple agents connected in a network collectively minimize the sum of individual objective functions …
L Ma, F Zhu, X Zhao - IEEE Transactions on Neural Networks …, 2023 - ieeexplore.ieee.org
In this article, the human-in-the-loop leader–follower consensus control problem is addressed for multiagent systems (MASs) with unknown external disturbances. A human …
Almost all systems are inevitably subject to various uncertainties or disturbances from the external environment in practical applications. Taking these factors into consideration, in this …
J Huang, W Wang, X Su - IEEE Transactions on Neural …, 2021 - ieeexplore.ieee.org
In this article, a distributed adaptive iterative learning control for a group of uncertain autonomous vehicles with a time-varying reference is presented, where the autonomous …