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 …
Prescribed performance control for automatic carrier landing with disturbance
Z Guan, Y Ma, Z Zheng, N Guo - Nonlinear Dynamics, 2018 - Springer
This paper presents a novel automatic carrier landing controller which holds a constant
angle of attack during final approach with prescribed performance in the presence of …
angle of attack during final approach with prescribed performance in the presence of …
Moving path following with prescribed performance and its application on automatic carrier landing
Z Guan, Y Ma, Z Zheng - IEEE Transactions on Aerospace and …, 2019 - ieeexplore.ieee.org
This article studies the moving path following (MPF) problem where a desired path attached
to a moving object must be followed. Focusing on the problem that the classical guidance …
to a moving object must be followed. Focusing on the problem that the classical guidance …
Globally stable adaptive dynamic surface control for cooperative path following of multiple underactuated autonomous underwater vehicles
H Wang, Y Li, K Liu - Asian Journal of Control, 2018 - Wiley Online Library
The cooperative path following problem of multiple underactuated autonomous underwater
vehicles (AUVs) involves two tasks. The first one is to force each AUV to converge to the …
vehicles (AUVs) involves two tasks. The first one is to force each AUV to converge to the …
Motion Control of Supersonic Passenger Aircraft Using Machine Learning Methods
AY Tiumentsev, YV Tiumentsev - Optical Memory and Neural Networks, 2023 - Springer
Motion control of modern and advanced aircraft has to be provided under conditions of
incomplete and inaccurate knowledge of their parameters and characteristics, possible flight …
incomplete and inaccurate knowledge of their parameters and characteristics, possible flight …
Reduced-order multiple observer for Takagi–Sugeno systems with unknown inputs
M Lungu - ISA transactions, 2019 - Elsevier
The paper discusses a niche area problem—the design of reduced-order multiple observers
which can achieve the finite-time state reconstruction for Takagi–Sugeno multiple models …
which can achieve the finite-time state reconstruction for Takagi–Sugeno multiple models …
New delay‐dependent H∞ state estimator for static neural networks with bounded and unbounded time delays
G Liu, C Luo, S Zhou, Y Li, X Luo - Asian Journal of Control, 2022 - Wiley Online Library
An H∞ estimation issue for static neural networks (SNNs) is discussed by the research, and
the SNN model is improved from the following two aspects:(1) The SNNs contains both …
the SNN model is improved from the following two aspects:(1) The SNNs contains both …
Autonomous adaptive control system for airplane landing
M Lungu, R Lungu - Asian Journal of Control, 2019 - Wiley Online Library
The paper presents a new autonomous adaptive system for the control of airplanes during
landing in longitudinal plane. For the first stage of landing in longitudinal plane, the main …
landing in longitudinal plane. For the first stage of landing in longitudinal plane, the main …
An improved NSGA-II based control allocation optimisation for aircraft longitudinal automatic landing system
Q Bian, B Nener, X Wang - International Journal of Control, 2019 - Taylor & Francis
In this paper, an Improved Nondominated Sorting Genetic Algorithm II is proposed for control
allocation optimisation in the field of aircraft automatic landing. The initial chromosomes are …
allocation optimisation in the field of aircraft automatic landing. The initial chromosomes are …
Bifurcation control of small‐world networks with delays VIA PID controller
B Tao, M **ao, G Jiang, Q Sun - Asian Journal of Control, 2020 - Wiley Online Library
In this paper, the problem of bifurcation control for a small‐world network model with time
delay is studied. We first put forward a Proportional‐Integral‐Derivative (PID) feedback …
delay is studied. We first put forward a Proportional‐Integral‐Derivative (PID) feedback …