Autonomous Intelligent Systems
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A dynamic core evolutionary clustering algorithm based on saturated memory
Autonomous Intelligent Systems - Tập 3 - Trang 1-16 - 2023
Because the number of clustering cores needs to be set before implementing the
K-means algorithm, this type of algorithm often fails in applications with
increasing data and changing distribution characteristics. This paper proposes
an evolutionary algorithm DCC, which can dynamically adjust the number of
clustering cores with data change. DCC algorithm uses the Gaussian function as
the activation...
Distributed dynamic stochastic approximation algorithm over time-varying networks
Autonomous Intelligent Systems - Tập 1 - Trang 1-20 - 2021
In this paper, a distributed stochastic approximation algorithm is proposed to
track the dynamic root of a sum of time-varying regression functions over a
network. Each agent updates its estimate by using the local observation, the
dynamic information of the global root, and information received from its
neighbors. Compared with similar works in optimization area, we allow the
observation to be no...
An attention enhanced dilated CNN approach for cross-axis industrial robotics fault diagnosis
Autonomous Intelligent Systems - Tập 2 - Trang 1-11 - 2022
An industrial robot is a complex mechatronics system, whose failure is hard to
diagnose based on monitoring data. Previous studies have reported various
methods with deep network models to improve the accuracy of fault diagnosis,
which can get an accurate prediction model when the amount of data sample is
sufficient. However, the failure data is hard to obtain, which leads to the
few-shot issue an...
Enhanced pothole detection system using YOLOX algorithm
Autonomous Intelligent Systems - Tập 2 - Trang 1-16 - 2022
The road is the most commonly used means of transportation and serves as a
country’s arteries, so it is extremely important to keep the roads in good
condition. Potholes that happen to appear in the road must be repaired to keep
the road in good condition. Spotting potholes on the road is difficult,
especially in a country like India where roads stretch millions of kilometres
across the country. T...
Formation control of unmanned rotorcraft systems with state constraints and inter-agent collision avoidance
Autonomous Intelligent Systems - Tập 3 - Trang 1-12 - 2023
We present in this paper a novel framework and distributed control laws for the
formation of multiple unmanned rotorcraft systems, be it single-rotor
helicopters or multi-copters, with physical constraints and with inter-agent
collision avoidance, in cluttered environments. The proposed technique is
composed of an analytical distributed consensus control solution in the free
space and an optimizat...
Robust flocking for non-identical second-order nonlinear multi-agent systems
Autonomous Intelligent Systems - Tập 1 - Trang 1-10 - 2021
This paper investigates the robust flocking problem for second-order nonlinear
systems with a leader and external disturbances. In contrast with most of
second-order systems in the literature, the intrinsic dynamics here are
nonlinear and non-identical that depend not only on the velocity but also on the
position, which is more realistic. Moreover, the interaction topology is
undirected and switch...
Lessons from human vision for robotic design
Autonomous Intelligent Systems - Tập 1 - Trang 1-10 - 2021
The visual guidance of goal-directed movements requires transformations of
incoming visual information that are different from those required for visual
perception. For us to grasp an object successfully, our brain must use
just-in-time computations of the object’s real-world size and shape, and its
orientation and disposition with respect to our hand. These requirements have
led to the emergence ...
Learning phase in a LIVE Digital Twin for predictive maintenance
Autonomous Intelligent Systems - Tập 2 - Trang 1-10 - 2022
Digital Twins are essential in establishing intelligent asset management for an
asset or machine. They can be described as the bidirectional communication
between a cyber representation and a physical asset. Predictive Maintenance is
dependent on the existence of three data sets: Fault history, Maintenance/Repair
History, and Machine Conditions. Current Digital Twin solutions can fail to
simulate ...
A deep learning-based approach for electrical equipment remaining useful life prediction
Autonomous Intelligent Systems - Tập 2 Số 1 - Trang 1-12 - 2022
Electrical equipment maintenance is of vital importance to management companies.
Efficient maintenance can significantly reduce business costs and avoid safety
accidents caused by catastrophic equipment failures. In the current context,
predictive maintenance (PdM) is becoming increasingly popular based on machine
learning approaches, while its research on electrical equipment such as
low-voltage ...
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