Aircraft icing: An ongoing threat to aviation safety
Y Cao, W Tan, Z Wu - Aerospace science and technology, 2018 - Elsevier
Flight safety is undoubtedly the most important requirement for modern aircraft design and
operation. However, in reality, aircraft flight performance and safety are inevitably affected by …
operation. However, in reality, aircraft flight performance and safety are inevitably affected by …
Neural network-based flight control systems: Present and future
As the first review in this field, this paper presents an in-depth mathematical view of
Intelligent Flight Control Systems (IFCSs), particularly those based on artificial neural …
Intelligent Flight Control Systems (IFCSs), particularly those based on artificial neural …
Distributed maneuvering of autonomous surface vehicles based on neurodynamic optimization and fuzzy approximation
This brief is concerned with the distributed maneuvering of multiple autonomous surface
vehicles guided by a virtual leader moving along a parameterized path. In the guidance …
vehicles guided by a virtual leader moving along a parameterized path. In the guidance …
Distributed containment maneuvering of multiple marine vessels via neurodynamics-based output feedback
In this paper, a neurodynamics-based output feedback scheme is proposed for distributed
containment maneuvering of marine vessels guided by multiple parameterized paths without …
containment maneuvering of marine vessels guided by multiple parameterized paths without …
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 …
Adaptive reinforcement learning neural network control for uncertain nonlinear system with input saturation
W Bai, Q Zhou, T Li, H Li - IEEE transactions on cybernetics, 2019 - ieeexplore.ieee.org
In this paper, an adaptive neural network (NN) control problem is investigated for discrete-
time nonlinear systems with input saturation. Radial-basis-function (RBF) NNs, including …
time nonlinear systems with input saturation. Radial-basis-function (RBF) NNs, including …
Bounded neural network control for target tracking of underactuated autonomous surface vehicles in the presence of uncertain target dynamics
This paper is concerned with the target tracking of underactuated autonomous surface
vehicles with unknown dynamics and limited control torques. The velocity of the target is …
vehicles with unknown dynamics and limited control torques. The velocity of the target is …
Containment maneuvering of marine surface vehicles with multiple parameterized paths via spatial-temporal decoupling
The containment maneuvering of marine surface vehicles has two objectives. The first one is
to force the marine vehicles to follow a convex hull spanned by multiple parameterized …
to force the marine vehicles to follow a convex hull spanned by multiple parameterized …
Adaptive finite-time output-feedback control design for switched pure-feedback nonlinear systems with average dwell time
L Ma, N Xu, X Huo, X Zhao - Nonlinear Analysis: Hybrid Systems, 2020 - Elsevier
In this paper, the issue of adaptive fuzzy tracking control is addressed for a class of
completely non-affine uncertain switched pure-feedback nonlinear systems with …
completely non-affine uncertain switched pure-feedback nonlinear systems with …
Adaptive trajectory control for autonomous helicopters
UNMANNED helicopters are versatile machines that can per-form aggressive maneuvers.
This is evident from the wide range of acrobatic maneuvers executed by expert pilots …
This is evident from the wide range of acrobatic maneuvers executed by expert pilots …