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 …
Observer-based adaptive fuzzy tracking control for strict-feedback nonlinear systems with unknown control gain functions
S Tong, X Min, Y Li - IEEE Transactions on Cybernetics, 2020 - ieeexplore.ieee.org
This article investigates the adaptive fuzzy output-feedback backstep** control design
problem for uncertain strict-feedback nonlinear systems in the presence of unknown virtual …
problem for uncertain strict-feedback nonlinear systems in the presence of unknown virtual …
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 …
input and multi-output (MIMO) nonlinear nonstrict feedback systems. During the control …
Adaptive neural networks finite-time optimal control for a class of nonlinear systems
Y Li, T Yang, S Tong - IEEE Transactions on Neural Networks …, 2019 - ieeexplore.ieee.org
This article addresses the finite-time optimal control problem for a class of nonlinear systems
whose powers are positive odd rational numbers. First of all, a finite-time controller, which is …
whose powers are positive odd rational numbers. First of all, a finite-time controller, which is …
Adaptive neural fixed-time tracking control for high-order nonlinear systems
J Ma, H Wang, J Qiao - IEEE Transactions on Neural Networks …, 2022 - ieeexplore.ieee.org
The problem of adaptive neural fixed-time tracking control for high-order systems is
addressed in this article. In order to handle the difficulties from the uncertain nonlinearities …
addressed in this article. In order to handle the difficulties from the uncertain nonlinearities …
Event‐triggered adaptive tracking control for uncertain fractional‐order nonstrict‐feedback nonlinear systems via command filtering
This article puts forward an event‐triggered adaptive neural tracking control strategy for a
class of uncertain fractional‐order nonstrict‐feedback nonlinear systems with full‐state …
class of uncertain fractional‐order nonstrict‐feedback nonlinear systems with full‐state …
Adaptive fuzzy control for nontriangular structural stochastic switched nonlinear systems with full state constraints
The problem of adaptive fuzzy control is investigated for a class of nontriangular structural
stochastic switched nonlinear systems with full state constraints in this paper. A remarkable …
stochastic switched nonlinear systems with full state constraints in this paper. A remarkable …
Event-triggered control for multiagent systems with sensor faults and input saturation
L Cao, H Li, G Dong, R Lu - IEEE Transactions on Systems …, 2019 - ieeexplore.ieee.org
An adaptive neural network (NN) event-triggered control scheme is proposed for nonlinear
nonstrict-feedback multiagent systems (MASs) against input saturation, unknown …
nonstrict-feedback multiagent systems (MASs) against input saturation, unknown …
Adaptive neural network tracking control for robotic manipulators with dead zone
In this paper, the adaptive neural network (NN) tracking control problem is addressed for
robot manipulators subject to dead-zone input. The control objective is to design an adaptive …
robot manipulators subject to dead-zone input. The control objective is to design an adaptive …
Finite-time consensus tracking neural network FTC of multi-agent systems
G Dong, H Li, H Ma, R Lu - IEEE Transactions on Neural …, 2020 - ieeexplore.ieee.org
The finite-time consensus fault-tolerant control (FTC) tracking problem is studied for the
nonlinear multi-agent systems (MASs) in the nonstrict feedback form. The MASs are subject …
nonlinear multi-agent systems (MASs) in the nonstrict feedback form. The MASs are subject …