Sliding mode control for networked control systems: A brief survey

W Zhou, Y Wang, Y Liang - ISA transactions, 2022 - Elsevier
In recent years, the control synthesis and analysis of networked control systems (NCSs)
have attracted increasing attention from both industrial and scientific communities, and many …

Sensing and Artificial Perception for Robots in Precision Forestry: A Survey

JF Ferreira, D Portugal, ME Andrada, P Machado… - Robotics, 2023 - mdpi.com
Artificial perception for robots operating in outdoor natural environments, including forest
scenarios, has been the object of a substantial amount of research for decades. Regardless …

Mutual information-based multi-AUV path planning for scalar field sampling using multidimensional RRT

R Cui, Y Li, W Yan - IEEE Transactions on Systems, Man, and …, 2015 - ieeexplore.ieee.org
Autonomous underwater vehicles (AUVs) have been widely employed in ocean survey,
monitoring, and search and rescue tasks for both civil and military applications. It is …

Neural dynamics for cooperative control of redundant robot manipulators

L Jin, S Li, X Luo, Y Li, B Qin - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
In this paper, a neural-dynamic distributed scheme is proposed for the cooperative control of
multiple redundant manipulators with limited communications. It is guaranteed that, with the …

Prescribed performance consensus of uncertain nonlinear strict-feedback systems with unknown control directions

W Wang, D Wang, Z Peng, T Li - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
In this paper, a leader-following consensus scheme is presented for networked uncertain
nonlinear strict-feedback systems with unknown control directions under directed graphs …

Autonomous uav navigation using reinforcement learning

HX Pham, HM La, D Feil-Seifer, LV Nguyen - arXiv preprint arXiv …, 2018 - arxiv.org
Unmanned aerial vehicles (UAV) are commonly used for missions in unknown
environments, where an exact mathematical model of the environment may not be available …

A distributed control framework of multiple unmanned aerial vehicles for dynamic wildfire tracking

HX Pham, HM La, D Feil-Seifer… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Wild-land fire fighting is a hazardous job. A key task for firefighters is to observe the “fire
front” to chart the progress of the fire and areas that will likely spread next. Lack of …

Modified primal-dual neural networks for motion control of redundant manipulators with dynamic rejection of harmonic noises

S Li, MC Zhou, X Luo - IEEE transactions on neural networks …, 2017 - ieeexplore.ieee.org
In recent decades, primal-dual neural networks, as a special type of recurrent neural
networks, have received great success in real-time manipulator control. However, noises are …

Cooperative motion generation in a distributed network of redundant robot manipulators with noises

L Jin, S Li, L Xiao, R Lu, B Liao - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In this paper, a distributed scheme is proposed for the cooperative motion generation in a
distributed network of multiple redundant manipulators. The proposed scheme can …

Communication-efficient massive UAV online path control: Federated learning meets mean-field game theory

H Shiri, J Park, M Bennis - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This paper investigates the control of a massive population of UAVs such as drones. The
straightforward method of control of UAVs by considering the interactions among them to …