Autonomous Intelligent Systems
SCOPUS (2021-2025)
2730-616X
Cơ quản chủ quản: N/A
Phân tích ảnh hưởng
Các bài báo tiêu biểu
Exponentially convergent distributed Nash equilibrium seeking for constrained aggregative games
- 2022
AbstractDistributed Nash equilibrium seeking of aggregative games is
investigated and a continuous-time algorithm is proposed. The algorithm is
designed by virtue of projected gradient play dynamics and aggregation tracking
dynamics, and is applicable to games with constrained strategy sets and
weight-balanced communication graphs. The key feature of our method is that the
proposed projected dynam...
Online distributed tracking of generalized Nash equilibrium on physical networks
- 2021
AbstractIn generalized Nash equilibrium (GNE) seeking problems over physical
networks such as power grids, the enforcement of network constraints and
time-varying environment may bring high computational costs. Developing online
algorithms is recognized as a promising method to cope with this challenge,
where the task of computing system states is replaced by directly using measured
values from th...
Leveraging on non-causal reasoning techniques for enhancing the cognitive management of highly automated vehicles
Tập 2 Số 1
AbstractHighly Automated Vehicles (HAVs) are expected to improve the performance
of terrestrial transportations by providing safe and efficient travel experience
to drivers and passengers. As HAVs will be equipped with different driving
automation levels, they should be capable to dynamically adapt their Level of
Autonomy (LoA), in order to tackle sudden and recurrent changes in their
environment ...
Remote collaborative process optimization in research and design of industrial manufacturing
AbstractIn response to the impact of COVID-19, the manufacturing industry and
academic industrial research have largely shifted to online or hybrid conference
formats. The sudden change has posed challenges for researchers and teams to
adapt. Based on the current state of online conferences, inadequate
communication, disruptions during meetings, confusion and loss of meeting
information, and diffi...
Prediction for nonlinear time series by improved deep echo state network based on reservoir states reconstruction
Tập 4 Số 1
AbstractWith the aim to enhance prediction accuracy for nonlinear time series,
this paper put forward an improved deep Echo State Network based on reservoir
states reconstruction driven by a Self-Normalizing Activation (SNA) function as
the replacement for the traditional Hyperbolic tangent activation function to
reduce the model’s sensitivity to hyper-parameters. The Strategy was implemented
in a...
Router and gateway node placement in wireless mesh networks for emergency rescue scenarios
Tập 1 - Trang 1-30 - 2021
The focus of this paper is on base functionalities required for UAV-based rapid
deployment of an ad hoc communication infrastructure in the initial phases of
rescue operations. The main idea is to use heterogeneous teams of UAVs to deploy
communication kits that include routers, and are used in the generation of ad
hoc Wireless Mesh Networks (WMN). Several fundamental problems are considered
and a...
Robust flocking for non-identical second-order nonlinear multi-agent 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...
Two-stage reward allocation with decay for multi-agent coordinated behavior for sequential cooperative task by using deep reinforcement learning
- 2022
We propose a two-stage reward allocation method with decay using an extension of
replay memory to adapt this rewarding method for deep reinforcement learning
(DRL), to generate coordinated behaviors for tasks that can be completed by
executing a few subtasks sequentially by heterogeneous agents. An independent
learner in cooperative multi-agent systems needs to learn its policies for
effective exe...
UAV low-altitude obstacle detection based on the fusion of LiDAR and camera
Tập 1 - Trang 1-10 - 2021
In this paper, aiming at the flying scene of the small unmanned aerial vehicle
(UAV) in the low-altitude suburban environment, we choose the sensor
configuration scheme of LiDAR and visible light camera, and design the static
and dynamic obstacle detection algorithms based on sensor fusion. For static
obstacles such as power lines and buildings in the low-altitude environment, the
way that image-a...
Neural network-based adaptive sliding mode control for underactuated dual overhead cranes suffering from matched and unmatched disturbances
Tập 2 - Trang 1-15 - 2022
To improve transportation capacity, dual overhead crane systems (DOCSs) are
playing an increasingly important role in the transportation of large/heavy
cargos and containers. Unfortunately, when trying to deal with the control
problem, current methods fail to fully consider such factors as external
disturbances, input dead zones, parameter uncertainties, and other unmodeled
dynamics that DOCSs usu...