[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 …

Neural network-based flight control systems: Present and future

SA Emami, P Castaldi, A Banazadeh - Annual Reviews in Control, 2022 - Elsevier
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 …

Observer-based dynamic event-triggered control for multiagent systems with time-varying delay

L Cao, Y Pan, H Liang, T Huang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article is concerned with the dynamic event-triggered-based adaptive output-feedback
tracking control problem of nonlinear multiagent systems with time-varying input delay. By …

Event-based adaptive NN fixed-time cooperative formation for multiagent systems

L Cao, Z Cheng, Y Liu, H Li - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
This article focuses on the fixed-time formation control problem for nonlinear multiagent
systems (MASs) with dynamic uncertainties and limited communication resources. Under the …

Finite-time adaptive fuzzy output feedback dynamic surface control for MIMO nonstrict feedback systems

Y Li, K Li, S Tong - IEEE Transactions on Fuzzy Systems, 2018 - ieeexplore.ieee.org
This paper investigates the finite-time adaptive fuzzy control problem for a class of multi-
input and multi-output (MIMO) nonlinear nonstrict feedback systems. During the control …

Adaptive fuzzy neural network control for a constrained robot using impedance learning

W He, Y Dong - IEEE transactions on neural networks and …, 2017 - ieeexplore.ieee.org
This paper investigates adaptive fuzzy neural network (NN) control using impedance
learning for a constrained robot, subject to unknown system dynamics, the effect of state …

Adaptive neural network control of an uncertain robot with full-state constraints

W He, Y Chen, Z Yin - IEEE transactions on cybernetics, 2015 - ieeexplore.ieee.org
This paper studies the tracking control problem for an uncertain-link robot with full-state
constraints. The rigid robotic manipulator is described as a multiinput and multioutput …

Fuzzy adaptive finite-time control design for nontriangular stochastic nonlinear systems

S Sui, CLP Chen, S Tong - IEEE Transactions on Fuzzy …, 2018 - ieeexplore.ieee.org
This paper solves the stochastically finite-time control problem for uncertain stochastic
nonlinear systems in nontriangular form. The considered controlled plants are different from …

Adaptive neural impedance control of a robotic manipulator with input saturation

W He, Y Dong, C Sun - IEEE Transactions on Systems, Man …, 2015 - ieeexplore.ieee.org
In this paper, adaptive impedance control is developed for an-link robotic manipulator with
input saturation by employing neural networks. Both uncertainties and input saturation are …

Distributed maneuvering of autonomous surface vehicles based on neurodynamic optimization and fuzzy approximation

Z Peng, J Wang, D Wang - IEEE Transactions on Control …, 2017 - ieeexplore.ieee.org
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 …