Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: A systematic survey
Deep neural networks (DNN) have remarkably progressed in applications involving large
and complex datasets but have been criticized as a black-box. This downside has recently …
and complex datasets but have been criticized as a black-box. This downside has recently …
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 …
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 …
Attitude tracking control for reentry vehicles using centralised robust model predictive control
In this work, a centralised robust model predictive control (CRMPC) algorithm is proposed
for reentry vehicles to track reference attitude trajectories subject to state/input constraints …
for reentry vehicles to track reference attitude trajectories subject to state/input constraints …
Dual-loop tube-based robust model predictive attitude tracking control for spacecraft with system constraints and additive disturbances
In this article, the problem of optimal time-varying attitude tracking control for rigid spacecraft
with system constraints and unknown additive disturbances is considered. Through the …
with system constraints and unknown additive disturbances is considered. Through the …
Design and implementation of deep neural network-based control for automatic parking maneuver process
R Chai, A Tsourdos, A Savvaris, S Chai… - … on Neural Networks …, 2020 - ieeexplore.ieee.org
This article focuses on the design, test, and validation of a deep neural network (DNN)-
based control scheme capable of predicting optimal motion commands for autonomous …
based control scheme capable of predicting optimal motion commands for autonomous …
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 …
Six-DOF spacecraft optimal trajectory planning and real-time attitude control: a deep neural network-based approach
R Chai, A Tsourdos, A Savvaris, S Chai… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
This brief presents an integrated trajectory planning and attitude control framework for six-
degree-of-freedom (6-DOF) hypersonic vehicle (HV) reentry flight. The proposed framework …
degree-of-freedom (6-DOF) hypersonic vehicle (HV) reentry flight. The proposed framework …
Deep reinforcement learning-based air combat maneuver decision-making: literature review, implementation tutorial and future direction
Nowadays, various innovative air combat paradigms that rely on unmanned aerial vehicles
(UAVs), ie, UAV swarm and UAV-manned aircraft cooperation, have received great attention …
(UAVs), ie, UAV swarm and UAV-manned aircraft cooperation, have received great attention …