[HTML][HTML] Sparse online Gaussian process adaptation for incremental backstepping flight control
Presence of uncertainties caused by unforeseen malfunctions in actuation or measurement
systems or changes in aircraft behaviour could lead to aircraft loss-of-control during flight …
systems or changes in aircraft behaviour could lead to aircraft loss-of-control during flight …
Observer based incremental backstepping terminal sliding-mode control with learning rate for a multi-vectored propeller airship
SQ Liu, JF Whidborne, W zhi Lyv, Q Zhang - Aerospace Science and …, 2023 - Elsevier
The problem of finite-time trajectory tracking control for a multivectored propeller airship with
model parameter uncertainties and unknown disturbances is addressed in the paper. In …
model parameter uncertainties and unknown disturbances is addressed in the paper. In …
Fixed-time attitude control for aircraft with strongly constrained actuators
Z Liu, Z Meng - Aerospace Science and Technology, 2023 - Elsevier
This paper investigates a novel fixed-time attitude control method for trans-medium aircraft to
ensure proper contact between the fuselage and the new medium before transmitting from …
ensure proper contact between the fuselage and the new medium before transmitting from …
Finite-time anti-disturbance control of an information-constrained autonomous helicopter flexible slung-load system with compound disturbance
This study investigates the finite-time anti-disturbance control problem of an autonomous
helicopter flexible slung-load system (AHFSLS) by describing it as a distributed parameter …
helicopter flexible slung-load system (AHFSLS) by describing it as a distributed parameter …
Dynamic surface neuro-backstepping based flight control with asymmetric output constraints
In this article, flight path angle of the aircraft is controlled asymptotically for a class of
nonstrict feedback system by employing robust backstepping dynamic surface control. First …
nonstrict feedback system by employing robust backstepping dynamic surface control. First …
DRNAS: Differentiable RBF neural architecture search method considering computation load in adaptive control
R Ming, XX Liu, Y Li, W Huang, W Zhang - Engineering Applications of …, 2024 - Elsevier
In this work, we investigated an online differential neural network search control algorithm
using a backstepping method with a radial basis function (RBF) neural network (NN) …
using a backstepping method with a radial basis function (RBF) neural network (NN) …
Collaborative design method of aerodynamic stability and control for modern advanced symmetrical tailless high-speed aircraft
D Lyu, S Zhang, L Zhao, J Zhao, H Su - Aerospace Science and …, 2023 - Elsevier
Tailless and small control surface design is usually used in the new generation of plane-
symmetrical hypersonic vehicle (HSV). However, this design greatly reduced the vehicle's …
symmetrical hypersonic vehicle (HSV). However, this design greatly reduced the vehicle's …
Design of trajectory tracking controller for surface vessels with/without output limitations
T Zhang, J Zhang, D Wang, J Fang, R Chen - Ocean Engineering, 2024 - Elsevier
This article creates a trajectory tracking controller for a surface vessel with or without output
limitations. For the first time, a novel high-order barrier function is created to tackle the …
limitations. For the first time, a novel high-order barrier function is created to tackle the …
[HTML][HTML] Flight Tracking Control for Helicopter Attitude and Altitude Systems Using Output Feedback Method under Full State Constraints
In this paper, we propose an output feedback flight tracking control scheme for helicopter
attitude and altitude systems with unmeasured states under full state constraints. Firstly, a …
attitude and altitude systems with unmeasured states under full state constraints. Firstly, a …
Event-triggered adaptive neural prescribed performance admittance control for constrained robotic systems without velocity measurements
P Fan, J Peng, H Yu, S Ding, Y Wang - ISA transactions, 2024 - Elsevier
In this paper, an event-triggered adaptive neural prescribed performance admittance control
(ETANPPAC) scheme is proposed to control the constrained robotic systems without velocity …
(ETANPPAC) scheme is proposed to control the constrained robotic systems without velocity …