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Underwater Internet of Things in smart ocean: System architecture and open issues
The development of the smart ocean requires that various features of the ocean be explored
and understood. The Underwater Internet of Things (UIoT), an extension of the Internet of …
and understood. The Underwater Internet of Things (UIoT), an extension of the Internet of …
Adaptive-constrained impedance control for human–robot co-transportation
Human–robot co-transportation allows for a human and a robot to perform an object
transportation task cooperatively on a shared environment. This range of applications raises …
transportation task cooperatively on a shared environment. This range of applications raises …
Hierarchical multiobjective heuristic for PCB assembly optimization in a beam-head surface mounter
This article proposes a hierarchical multiobjective heuristic (HMOH) to optimize printed-
circuit board assembly (PCBA) in a single beam-head surface mounter. The beam-head …
circuit board assembly (PCBA) in a single beam-head surface mounter. The beam-head …
Event-triggered control for multiagent systems with sensor faults and input saturation
L Cao, H Li, G Dong, R Lu - IEEE Transactions on Systems …, 2019 - ieeexplore.ieee.org
An adaptive neural network (NN) event-triggered control scheme is proposed for nonlinear
nonstrict-feedback multiagent systems (MASs) against input saturation, unknown …
nonstrict-feedback multiagent systems (MASs) against input saturation, unknown …
Prescribed performance cooperative control for multiagent systems with input quantization
H Liang, Y Zhang, T Huang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper studies the quantized cooperative control problem for multiagent systems with
unknown gains in the prescribed performance. Different from the finite-time control, a speed …
unknown gains in the prescribed performance. Different from the finite-time control, a speed …
Adaptive fuzzy full-state and output-feedback control for uncertain robots with output constraint
X Yu, W He, H Li, J Sun - IEEE Transactions on Systems, Man …, 2020 - ieeexplore.ieee.org
This article focuses on the tracking control issue of robotic systems with dynamic
uncertainties. To enhance tracking accuracy in a robotic manipulator with uncertainties, an …
uncertainties. To enhance tracking accuracy in a robotic manipulator with uncertainties, an …
GCB-Net: Graph convolutional broad network and its application in emotion recognition
T Zhang, X Wang, X Xu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In recent years, emotion recognition has become a research focus in the area of artificial
intelligence. Due to its irregular structure, EEG data can be analyzed by applying graphical …
intelligence. Due to its irregular structure, EEG data can be analyzed by applying graphical …
Boundary disturbance observer-based control of a vibrating single-link flexible manipulator
This paper examines the boundary disturbance observer-based control for a vibrating single-
link flexible manipulator system possessing external disturbances. Two new boundary anti …
link flexible manipulator system possessing external disturbances. Two new boundary anti …
Neural-based decentralized adaptive finite-time control for nonlinear large-scale systems with time-varying output constraints
This paper addresses the adaptive finite-time decentralized control problem for time-varying
output-constrained nonlinear large-scale systems preceded by input saturation. The …
output-constrained nonlinear large-scale systems preceded by input saturation. The …
[HTML][HTML] The application of genetic algorithm in land use optimization research: A review
Land use optimization (LUO) first considers which types of land use should exist in a certain
area, and secondly, how to allocate these land use types to specific land grid units. As an …
area, and secondly, how to allocate these land use types to specific land grid units. As an …