Review of on-orbit robotic arm active debris capture removal methods
W Zhang, F Li, J Li, Q Cheng - Aerospace, 2022 - mdpi.com
Space is the driving force of the world's sustainable development, and ensuring the
sustainability of human activity in space is also necessary. Robotic arm active debris capture …
sustainability of human activity in space is also necessary. Robotic arm active debris capture …
Distributed model-free adaptive control for learning nonlinear MASs under DoS attacks
This article addresses the distributed model-free adaptive control (DMFAC) problem for
learning nonlinear multiagent systems (MASs) subjected to denial-of-service (DoS) attacks …
learning nonlinear multiagent systems (MASs) subjected to denial-of-service (DoS) attacks …
On model-free adaptive control and its stability analysis
Z Hou, S Xiong - IEEE Transactions on Automatic Control, 2019 - ieeexplore.ieee.org
In this paper, the main issues of model-based control methods are first reviewed, followed by
the motivations and the state of the art of the model-free adaptive control (MFAC). MFAC is a …
the motivations and the state of the art of the model-free adaptive control (MFAC). MFAC is a …
Data-driven-based cooperative resilient learning method for nonlinear MASs under DoS attacks
In this article, we consider the cooperative tracking problem for a class of nonlinear
multiagent systems (MASs) with unknown dynamics under denial-of-service (DoS) attacks …
multiagent systems (MASs) with unknown dynamics under denial-of-service (DoS) attacks …
Data-driven formation control for unknown MIMO nonlinear discrete-time multi-agent systems with sensor fault
S Xiong, Z Hou - IEEE transactions on neural networks and …, 2021 - ieeexplore.ieee.org
A data-driven distributed formation control algorithm is proposed for an unknown
heterogeneous non-affine nonlinear discrete-time MIMO multi-agent system (MAS) with …
heterogeneous non-affine nonlinear discrete-time MIMO multi-agent system (MAS) with …
A novel optimal bipartite consensus control scheme for unknown multi-agent systems via model-free reinforcement learning
In this paper, the optimal bipartite consensus control (OBCC) problem is investigated for
unknown multi-agent systems (MASs) with coopetition networks. A novel distributed OBCC …
unknown multi-agent systems (MASs) with coopetition networks. A novel distributed OBCC …
Hybrid online learning control in networked multiagent systems: A survey
This survey paper studies deterministic control systems that integrate three of the most active
research areas during the last years:(1) online learning control systems,(2) distributed …
research areas during the last years:(1) online learning control systems,(2) distributed …
A novel dual successive projection-based model-free adaptive control method and application to an autonomous car
In this paper, a novel model-free adaptive control (MFAC) algorithm based on a dual
successive projection (DuSP)-MFAC method is proposed, and it is analyzed using the …
successive projection (DuSP)-MFAC method is proposed, and it is analyzed using the …
Model-free adaptive control for unknown MIMO nonaffine nonlinear discrete-time systems with experimental validation
S Xiong, Z Hou - IEEE Transactions on Neural Networks and …, 2020 - ieeexplore.ieee.org
In this article, a model-free adaptive control (MFAC) algorithm based on full form dynamic
linearization (FFDL) data model is presented for a class of unknown multi-input multi-output …
linearization (FFDL) data model is presented for a class of unknown multi-input multi-output …
Distributed model-free adaptive control for MIMO nonlinear multiagent systems under deception attacks
F Li, Z Hou - IEEE Transactions on Systems, Man, and …, 2022 - ieeexplore.ieee.org
The consensus tracking and containment control problems of multiple-input and multiple-
output (MIMO) nonaffine nonlinear multiagent systems (MASs) are studied in this article …
output (MIMO) nonaffine nonlinear multiagent systems (MASs) are studied in this article …