Predefined-time fault-tolerant consensus tracking control for multi-UAV systems with prescribed performance and attitude constraints

S Yang, Y Pan, L Cao, L Chen - IEEE transactions on …, 2024 - ieeexplore.ieee.org
This article focuses on the predefined-time fault-tolerant consensus tracking control problem
for multi-unmanned aerial vehicle (UAV) systems with prescribed performance and attitude …

Dynamic self-triggered fuzzy bipartite time-varying formation tracking for nonlinear multiagent systems with deferred asymmetric output constraints

S Huang, G Zong, B Niu, N Xu… - IEEE transactions on …, 2024 - ieeexplore.ieee.org
In this article, an adaptive fuzzy bipartite formation tracking control strategy of nonlinear
multiagent systems (MASs) is developed under a directed communication topology. Fuzzy …

Event-based adaptive neural control of nonlinear systems with deferred constraint

K Zhao, L Chen, CLP Chen - IEEE Transactions on Systems …, 2022 - ieeexplore.ieee.org
In this article, the problem of constant yet deferred output constraint for uncertain strict-
feedback nonlinear systems is studied. By “deferred output constraint,” we mean that the …

Output constrained control of lower limb exoskeleton based on knee motion probabilistic model with finite-time extended state observer

Z Chen, Q Guo, T Li, Y Yan - IEEE/ASME Transactions on …, 2023 - ieeexplore.ieee.org
Due to randomness and uncertainty of individual walking gait, this study uses the sparse
Gaussian process (SGP) to construct a knee motion probabilistic model related to its …

Adaptive neural network control of an uncertain 2-DOF helicopter with unknown backlash-like hysteresis and output constraints

Z Zhao, J Zhang, Z Liu, C Mu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
An adaptive neural network (NN) control is proposed for an unknown two-degree of freedom
(2-DOF) helicopter system with unknown backlash-like hysteresis and output constraint in …

Fixed-time adaptive neural network control for nonlinear systems with input saturation

W Sun, S Diao, SF Su, ZY Sun - IEEE Transactions on Neural …, 2021 - ieeexplore.ieee.org
This study concentrates on the tracking control problem for nonlinear systems subject to
actuator saturation. To improve the performance of the controller, we propose a fixed-time …

Fractional order sliding mode control for an omni-directional mobile robot based on self-organizing interval type-2 fuzzy neural network

T Zhao, P Qin, S Dian, B Guo - Information Sciences, 2024 - Elsevier
Four-wheeled omnidirectional mobile robots (FM-OMR) are widely used in various fields
due to their excellent steering ability and adaptability. As application scenarios expand …

Adaptive full-state constrained tracking control for mobile robotic system with unknown dead-zone input

X Luo, D Mu, Z Wang, P Ning, C Hua - Neurocomputing, 2023 - Elsevier
This paper studies the adaptive neural networks (NNs) tracking control problem for a class of
mobile robot systems with full-state constraints. First, to compensate for the adverse effects …

Adaptive uniform performance control of strict-feedback nonlinear systems with time-varying control gain

K Zhao, C Wen, Y Song… - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
In this paper, we present a novel adaptive performance control approach for strict-feedback
nonparametric systems with unknown time-varying control coefficients, which mainly …

Adaptive neural network-quantized tracking control of uncertain unmanned surface vehicles with output constraints

S Dong, K Liu, M Liu, G Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper investigates the trajectory tracking control problem for a class of unmanned
surface vehicles subject to unknown uncertainties, output constraints and input quantization …