[PDF][PDF] An overview on flight dynamics and control approaches for hypersonic vehicles.
B Xu, ZK Shi - Sci. China Inf. Sci., 2015 - researchgate.net
With the capability of high speed flying, a more reliable and cost efficient way to access
space is provided by hypersonic flight vehicles. Controller design, as key technology to …
space is provided by hypersonic flight vehicles. Controller design, as key technology to …
A data-driven approach for intrusion and anomaly detection using automated machine learning for the Internet of Things
H Xu, Z Sun, Y Cao, H Bilal - Soft Computing, 2023 - Springer
Cyber-attacks and network intrusion have surfaced as major concerns for modern days
applications of the Internet of Things (IoT). The existing intrusion detection and prevention …
applications of the Internet of Things (IoT). The existing intrusion detection and prevention …
Adaptive neural network control of AUVs with control input nonlinearities using reinforcement learning
In this paper, we investigate the trajectory tracking problem for a fully actuated autonomous
underwater vehicle (AUV) that moves in the horizontal plane. External disturbances, control …
underwater vehicle (AUV) that moves in the horizontal plane. External disturbances, control …
A brief review of neural networks based learning and control and their applications for robots
As an imitation of the biological nervous systems, neural networks (NNs), which have been
characterized as powerful learning tools, are employed in a wide range of applications, such …
characterized as powerful learning tools, are employed in a wide range of applications, such …
Neural network control-based adaptive learning design for nonlinear systems with full-state constraints
In order to stabilize a class of uncertain nonlinear strict-feedback systems with full-state
constraints, an adaptive neural network control method is investigated in this paper. The …
constraints, an adaptive neural network control method is investigated in this paper. The …
Adaptive neural network control of a marine vessel with constraints using the asymmetric barrier Lyapunov function
W He, Z Yin, C Sun - IEEE transactions on cybernetics, 2016 - ieeexplore.ieee.org
In this paper, we consider the trajectory tracking of a marine surface vessel in the presence
of output constraints and uncertainties. An asymmetric barrier Lyapunov function is …
of output constraints and uncertainties. An asymmetric barrier Lyapunov function is …
Adaptive neural output feedback control of uncertain nonlinear systems with unknown hysteresis using disturbance observer
In this paper, an adaptive neural output feedback control scheme is proposed for uncertain
nonlinear systems that are subject to unknown hysteresis, external disturbances, and …
nonlinear systems that are subject to unknown hysteresis, external disturbances, and …
Adaptive neural fault-tolerant control of a 3-DOF model helicopter system
In this paper, an adaptive neural fault-tolerant control scheme is proposed for the three
degrees of freedom model helicopter, subject to system uncertainties, unknown external …
degrees of freedom model helicopter, subject to system uncertainties, unknown external …
Fuzzy approximation-based adaptive backstepping optimal control for a class of nonlinear discrete-time systems with dead-zone
YJ Liu, Y Gao, S Tong, Y Li - IEEE Transactions on Fuzzy …, 2015 - ieeexplore.ieee.org
In this paper, an adaptive fuzzy optimal control design is addressed for a class of unknown
nonlinear discrete-time systems. The controlled systems are in a strict-feedback frame and …
nonlinear discrete-time systems. The controlled systems are in a strict-feedback frame and …
Neural network-based motion control of an underactuated wheeled inverted pendulum model
In this paper, automatic motion control is investigated for wheeled inverted pendulum (WIP)
models, which have been widely applied for modeling of a large range of two wheeled …
models, which have been widely applied for modeling of a large range of two wheeled …