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 …

A historical perspective of adaptive control and learning

AM Annaswamy, AL Fradkov - Annual Reviews in Control, 2021 - Elsevier
This article provides a historical perspective of the field of adaptive control over the past
seven decades and its intersection with learning. A chronology of key events over this large …

Finite-time convergence adaptive fuzzy control for dual-arm robot with unknown kinematics and dynamics

C Yang, Y Jiang, J Na, Z Li, L Cheng… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Due to strongly coupled nonlinearities of the grasped dual-arm robot and the internal forces
generated by grasped objects, the dual-arm robot control with uncertain kinematics and …

Observer-based adaptive backstepping consensus tracking control for high-order nonlinear semi-strict-feedback multiagent systems

CLP Chen, GX Wen, YJ Liu, Z Liu - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Combined with backstepping techniques, an observer-based adaptive consensus tracking
control strategy is developed for a class of high-order nonlinear multiagent systems, of which …

An observer-based fuzzy adaptive consensus control method for nonlinear multiagent systems

Y Li, K Li, S Tong - IEEE Transactions on Fuzzy Systems, 2022 - ieeexplore.ieee.org
This article investigates the problem of fuzzy adaptive consensus tracking control for
nonlinear multiagent systems with unknown nonlinear control gain functions. In the control …

Neural control of bimanual robots with guaranteed global stability and motion precision

C Yang, Y Jiang, Z Li, W He… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Robots with coordinated dual arms are able to perform more complicated tasks that a single
manipulator could hardly achieve. However, more rigorous motion precision is required to …

Fuzzy adaptive optimal consensus fault-tolerant control for stochastic nonlinear multiagent systems

K Li, Y Li - IEEE Transactions on Fuzzy Systems, 2021 - ieeexplore.ieee.org
This article investigates the problem of adaptive fuzzy optimal distributed consensus control
for stochastic multiagent systems (MASs) with full-state constraints and nonaffine nonlinear …

Neural network-based adaptive leader-following consensus control for a class of nonlinear multiagent state-delay systems

G Wen, CLP Chen, YJ Liu, Z Liu - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Compared with the existing neural network (NN) or fuzzy logic system (FLS) based adaptive
consensus methods, the proposed approach can greatly alleviate the computation burden …

Adaptive consensus control for a class of nonlinear multiagent time-delay systems using neural networks

CLP Chen, GX Wen, YJ Liu… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Because of the complexity of consensus control of nonlinear multiagent systems in state time-
delay, most of previous works focused only on linear systems with input time-delay. An …

An overview of recent progress in the study of distributed multi-agent coordination

Y Cao, W Yu, W Ren, G Chen - IEEE Transactions on Industrial …, 2012 - ieeexplore.ieee.org
This paper reviews some main results and progress in distributed multi-agent coordination,
focusing on papers published in major control systems and robotics journals since 2006 …