A survey on recent progress in control of swarm systems
It has been witnessed that swarm systems are superior to individual agents in performing
complicated tasks. In recent years, new results in some branches of control for swarm …
complicated tasks. In recent years, new results in some branches of control for swarm …
A review on multi-robot systems categorised by application domain
RN Darmanin, MK Bugeja - 2017 25th mediterranean …, 2017 - ieeexplore.ieee.org
Literature reviews on Multi-Robot Systems (MRS) typically focus on fundamental technical
aspects, like coordination and communication, that need to be considered in order to …
aspects, like coordination and communication, that need to be considered in order to …
A survey on intelligent control for multiagent systems
P Shi, B Yan - IEEE Transactions on Systems, Man, and …, 2020 - ieeexplore.ieee.org
In practice, the dual constraints of limited interaction capabilities and system uncertainties
make it difficult for large-scale multiagent systems (MASs) to achieve intelligent collaboration …
make it difficult for large-scale multiagent systems (MASs) to achieve intelligent collaboration …
Deep learning-based complete coverage path planning with re-joint and obstacle fusion paradigm
With the introduction of autonomy into the precision agriculture process, environmental
exploration, disaster response, and other fields, one of the global demands is to navigate …
exploration, disaster response, and other fields, one of the global demands is to navigate …
A cooperative-control-based underwater target escorting mechanism with multiple autonomous underwater vehicles for underwater Internet of Things
J Zhang, J Sha, G Han, J Liu… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Escorting a moving object in a subsea environment with cooperative autonomous
underwater vehicles (AUVs) is a typical subject in Underwater Internet of Things (UIoT) …
underwater vehicles (AUVs) is a typical subject in Underwater Internet of Things (UIoT) …
A novel real-coded population-based extremal optimization algorithm with polynomial mutation: A non-parametric statistical study on continuous optimization …
As a recently developed optimization method inspired by far-from-equilibrium dynamics of
self-organized criticality, extremal optimization (EO) has been successfully applied to a …
self-organized criticality, extremal optimization (EO) has been successfully applied to a …
Distributed game strategy for unmanned aerial vehicle formation with external disturbances and obstacles
We investigate a distributed game strategy for unmanned aerial vehicle (UAV) formations
with external disturbances and obstacles. The strategy is based on a distributed model …
with external disturbances and obstacles. The strategy is based on a distributed model …
Population extremal optimization-based extended distributed model predictive load frequency control of multi-area interconnected power systems
How to design a set of optimal distributed load frequency controllers for a multi-area
interconnected power system is an important but still challenging issue in the field of modern …
interconnected power system is an important but still challenging issue in the field of modern …
Incremental updating multirobot formation using nonlinear model predictive control method with general projection neural network
H Xiao, CLP Chen - IEEE Transactions on Industrial Electronics, 2018 - ieeexplore.ieee.org
In this paper, an incremental centralized formation system is developed for controlling the
multirobot formation with joining robots, and a nonlinear model predictive control (NMPC) …
multirobot formation with joining robots, and a nonlinear model predictive control (NMPC) …
Leader-follower consensus multi-robot formation control using neurodynamic-optimization-based nonlinear model predictive control
H Xiao, CLP Chen - IEEE access, 2019 - ieeexplore.ieee.org
This paper investigates a nonlinear-model-predictive-control (NMPC)-strategy-based
distributed leader-follower consensus multi-robot formation system. The control objective of …
distributed leader-follower consensus multi-robot formation system. The control objective of …