Review of advanced guidance and control algorithms for space/aerospace vehicles
The design of advanced guidance and control (G&C) systems for space/aerospace vehicles
has received a large amount of attention worldwide during the last few decades and will …
has received a large amount of attention worldwide during the last few decades and will …
Prescribed performance control approaches, applications and challenges: A comprehensive survey
X Bu - Asian Journal of Control, 2023 - Wiley Online Library
As to control systems, transient performance is as important as steady‐state performance.
For some special dynamic systems, transient performance is a more prior index in …
For some special dynamic systems, transient performance is a more prior index in …
Multi-UUV maneuvering counter-game for dynamic target scenario based on fractional-order recurrent neural network
L Liu, S Zhang, L Zhang, G Pan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this article, a multi-underwater unmanned vehicle (UUV) maneuvering decision-making
algorithm is proposed for a counter-game with a dynamic target scenario. The game is …
algorithm is proposed for a counter-game with a dynamic target scenario. The game is …
Design and experimental validation of deep reinforcement learning-based fast trajectory planning and control for mobile robot in unknown environment
This article is concerned with the problem of planning optimal maneuver trajectories and
guiding the mobile robot toward target positions in uncertain environments for exploration …
guiding the mobile robot toward target positions in uncertain environments for exploration …
Learning to optimize: reference vector reinforcement learning adaption to constrained many-objective optimization of industrial copper burdening system
The performance of decomposition-based algorithms is sensitive to the Pareto front shapes
since their reference vectors preset in advance are not always adaptable to various problem …
since their reference vectors preset in advance are not always adaptable to various problem …
Deep learning-based trajectory planning and control for autonomous ground vehicle parking maneuver
In this paper, a novel integrated real-time trajectory planning and tracking control framework
capable of dealing with autonomous ground vehicle (AGV) parking maneuver problems is …
capable of dealing with autonomous ground vehicle (AGV) parking maneuver problems is …
Unified deep learning approach for efficient intrusion detection system using integrated spatial–temporal features
PR Kanna, P Santhi - Knowledge-Based Systems, 2021 - Elsevier
Intrusion detection systems (IDS) differentiate the malicious entries from the legitimate
entries in network traffic data and helps in securing the networks. Deep learning algorithms …
entries in network traffic data and helps in securing the networks. Deep learning algorithms …
Ast-gnn: An attention-based spatio-temporal graph neural network for interaction-aware pedestrian trajectory prediction
Predicting pedestrian trajectories in the future is a basic research topic in many real
applications, such as video surveillance, self-driving cars, and robotic systems. There are …
applications, such as video surveillance, self-driving cars, and robotic systems. There are …
Multi-objective particle swarm optimization with multi-mode collaboration based on reinforcement learning for path planning of unmanned air vehicles
X Zhang, S **a, X Li, T Zhang - Knowledge-Based Systems, 2022 - Elsevier
In order to solve the multiple unmanned aerial vehicles (UAVs) collaborative path planning
problem under complex environments with multiple constraints, the multi-objective particle …
problem under complex environments with multiple constraints, the multi-objective particle …
Retracted article: evolving deep convolutional neutral network by hybrid sine–cosine and extreme learning machine for real-time COVID19 diagnosis from X-ray …
The COVID19 pandemic globally and significantly has affected the life and health of many
communities. The early detection of infected patients is effective in fighting COVID19. Using …
communities. The early detection of infected patients is effective in fighting COVID19. Using …