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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 …
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
In this article, an adaptive fuzzy bipartite formation tracking control strategy of nonlinear
multiagent systems (MASs) is developed under a directed communication topology. Fuzzy …
multiagent systems (MASs) is developed under a directed communication topology. Fuzzy …
Event-based adaptive neural control of nonlinear systems with deferred constraint
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 …
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
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 …
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
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 …
(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
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 …
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 …
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
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 …
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
In this paper, we present a novel adaptive performance control approach for strict-feedback
nonparametric systems with unknown time-varying control coefficients, which mainly …
nonparametric systems with unknown time-varying control coefficients, which mainly …
Adaptive neural network-quantized tracking control of uncertain unmanned surface vehicles with output constraints
This paper investigates the trajectory tracking control problem for a class of unmanned
surface vehicles subject to unknown uncertainties, output constraints and input quantization …
surface vehicles subject to unknown uncertainties, output constraints and input quantization …