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 …
Adaptive neural network control for a class of nonlinear systems with function constraints on states
In this article, the problem of tracking control for a class of nonlinear time-varying full state
constrained systems is investigated. By constructing the time-varying asymmetric barrier …
constrained systems is investigated. By constructing the time-varying asymmetric barrier …
Adaptive finite-time tracking control of full state constrained nonlinear systems with dead-zone
H Li, S Zhao, W He, R Lu - Automatica, 2019 - Elsevier
This paper investigates the problem of adaptive finite-time tracking control for strict-feedback
nonlinear continuous-time systems subject to full state constraints and dead-zone. By …
nonlinear continuous-time systems subject to full state constraints and dead-zone. By …
Singularity-free fixed-time fuzzy control for robotic systems with user-defined performance
Y Pan, P Du, H Xue, HK Lam - IEEE Transactions on Fuzzy …, 2020 - ieeexplore.ieee.org
In this article, the singularity-free adaptive fuzzy fixed-time control problem is studied for an
uncertain n-link robotic system with the position tracking error constraint. The controlled …
uncertain n-link robotic system with the position tracking error constraint. The controlled …
Adaptive-constrained impedance control for human–robot co-transportation
Human–robot co-transportation allows for a human and a robot to perform an object
transportation task cooperatively on a shared environment. This range of applications raises …
transportation task cooperatively on a shared environment. This range of applications raises …
Adaptive control-based barrier Lyapunov functions for a class of stochastic nonlinear systems with full state constraints
An adaptive control scheme is developed in the paper for nonlinear stochastic systems with
unknown parameters. All the states in the systems are required to be constrained in a …
unknown parameters. All the states in the systems are required to be constrained in a …
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 …
learning for a constrained robot, subject to unknown system dynamics, the effect of state …
Adaptive output-feedback control design with prescribed performance for switched nonlinear systems
In this paper, an output feedback control method with prescribed performance is proposed
for single-input and single-output (SISO) switched non-strict-feedback nonlinear systems. It …
for single-input and single-output (SISO) switched non-strict-feedback nonlinear systems. It …
Reinforcement learning-based decentralized fault tolerant control for constrained interconnected nonlinear systems
This paper addresses the decentralized fault tolerant control problem for interconnected
nonlinear systems under a reinforcement learning strategy. The system under consideration …
nonlinear systems under a reinforcement learning strategy. The system under consideration …
Barrier Lyapunov functions-based adaptive control for a class of nonlinear pure-feedback systems with full state constraints
YJ Liu, S Tong - Automatica, 2016 - Elsevier
In this study, an adaptive control technique is developed for a class of uncertain nonlinear
parametric systems. The considered systems can be viewed as a class of nonlinear pure …
parametric systems. The considered systems can be viewed as a class of nonlinear pure …