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   Articles with "adaptive neural" as a keyword



Observer‐based adaptive neural control for a class of nonlinear singular systems

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recommendations! Published in 2020 at "International Journal of Robust and Nonlinear Control"

DOI: 10.1002/rnc.4980

Abstract: The problem of observer‐based adaptive neural control via output feedback for a class of uncertain nonlinear singular systems is studied in this article. The nonlinear singular systems can be regarded as two subsystems that are… read more here.

Keywords: observer based; based adaptive; nonlinear singular; singular systems ... See more keywords

State constraints‐based adaptive neural network control for switched nonlinear systems with unmodeled dynamics

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recommendations! Published in 2020 at "International Journal of Robust and Nonlinear Control"

DOI: 10.1002/rnc.5113

Abstract: This paper investigates the problem of state constraints‐based adaptive neural network tracking control for switched nonlinear systems with unmodeled dynamics. First, a switching‐dependent dynamic signal is designed to dominate unmodeled dynamics. Also, by introducing a… read more here.

Keywords: unmodeled dynamics; state; neural network; adaptive neural ... See more keywords

Adaptive Neural Network Optimal Event‐Triggered Control for Unmanned Surface Vehicle Based on Zero‐Sum Game

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recommendations! Published in 2025 at "International Journal of Robust and Nonlinear Control"

DOI: 10.1002/rnc.70143

Abstract: This article develops an adaptive neural network (NN) optimal event‐triggered control strategy for an unmanned surface vehicle (USV) system with uncertain dynamics and unknown external disturbances. A new event‐triggered NN optimal control policy is developed,… read more here.

Keywords: network optimal; event triggered; control; adaptive neural ... See more keywords
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Geometric Adaptive Neural Controller and Optical Flow‐Based Invariant Extended Kalman Filter for Mars Quadrotor Under Disturbance

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recommendations! Published in 2025 at "Journal of Field Robotics"

DOI: 10.1002/rob.22523

Abstract: With the continuous progress of deep space robotics technology and the deepening of human understanding of the Martian surface environment, the rotorcraft is expected to overcome the limitations of Mars orbiters and rovers in terms… read more here.

Keywords: extended kalman; invariant extended; adaptive neural; controller ... See more keywords

Adaptive neural network control for visual servoing of underwater vehicles with pose estimation

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recommendations! Published in 2017 at "Journal of Marine Science and Technology"

DOI: 10.1007/s00773-016-0426-6

Abstract: In this paper, the visual servo control of fully actuated underwater vehicles is investigated by employing a position-based approach. Firstly, the global coordinates and Euler angles of the underwater vehicle with respect to a stationary… read more here.

Keywords: network control; neural network; underwater vehicles; adaptive neural ... See more keywords
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A new adaptive neural control scheme for hypersonic vehicle with actuators multiple constraints

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recommendations! Published in 2020 at "Nonlinear Dynamics"

DOI: 10.1007/s11071-020-05707-2

Abstract: A new adaptive neural control method, with the actuators multiple constraints of amplitude and rate into consideration, is proposed in this paper for the flexible air-breathing hypersonic vehicle (AHV). In order to better reflect the… read more here.

Keywords: control; neural control; new adaptive; control law ... See more keywords

Study on the Handling Qualities Enhancement of Fixed-wing Aircraft Using Adaptive Neural Network

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recommendations! Published in 2020 at "International Journal of Control, Automation and Systems"

DOI: 10.1007/s12555-018-9403-7

Abstract: This paper intends to propose the integrated design framework of a model-following controller (MFC) combined with both an adaptive neural network (ANN) and a linear observer to enhance the handling qualities (HQ) of a fixed-wing… read more here.

Keywords: aircraft; fixed wing; controller; neural network ... See more keywords

Adaptive neural control for nonstrict-feedback time-delay systems with input and output constraints

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recommendations! Published in 2018 at "International Journal of Machine Learning and Cybernetics"

DOI: 10.1007/s13042-017-0662-z

Abstract: An adaptive tracking control is investigated for a class of nonstrict-feedback nonlinear systems with time delays subject to input saturation nonlinearity and output constraint. First, the Gaussian error function is used to express the continuous… read more here.

Keywords: control; time; nonstrict feedback; output ... See more keywords

Adaptive neural prescribed performance control for a class of strict-feedback stochastic nonlinear systems with hysteresis input

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recommendations! Published in 2017 at "Neurocomputing"

DOI: 10.1016/j.neucom.2017.04.017

Abstract: This paper studies an adaptive neural tracking control problem for a class of strict-feedback stochastic nonlinear systems with guaranteed predefined performance subject to unknown backlash-like hysteresis input. First, utilizing the prescribed performance control, the predefined… read more here.

Keywords: control; hysteresis input; performance; adaptive neural ... See more keywords

Constrained adaptive neural control for a class of nonstrict-feedback nonlinear systems with disturbances

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recommendations! Published in 2018 at "Neurocomputing"

DOI: 10.1016/j.neucom.2017.07.015

Abstract: Abstract This paper focuses on the tracking problem for a class of nonstrict-feedback nonlinear systems with mismatched unknown nonlinear functions and external disturbances. First, a disturbance observer is developed to estimate the disturbance generated by… read more here.

Keywords: control; nonstrict feedback; feedback nonlinear; constrained adaptive ... See more keywords

Adaptive neural networks-based visual servoing control for manipulator with visibility constraint and dead-zone input

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recommendations! Published in 2019 at "Neurocomputing"

DOI: 10.1016/j.neucom.2018.11.058

Abstract: Abstract This paper proposed an online image-based visual servoing (IBVS) controller for manipulator systems with dead-zone input. The adaptive neural networks (NNs) are used to approximate the unknown nonlinear dynamics. The Barrier Lyapunov Function (BLF)… read more here.

Keywords: control; zone input; based visual; dead zone ... See more keywords