Observer‐based adaptive neural control for a class of nonlinear singular systems
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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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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 control for visual servoing of underwater vehicles with pose estimation
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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
A new adaptive neural control scheme for hypersonic vehicle with actuators multiple constraints
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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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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
Sign Up to like & getrecommendations! 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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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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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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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
Adaptive neural finite-time bipartite consensus tracking of nonstrict feedback nonlinear coopetition multi-agent systems with input saturation
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DOI: 10.1016/j.neucom.2020.02.054
Abstract: Abstract This paper concentrates on the adaptive neural finite-time bipartite consensus tracking of nonstrict feedback nonlinear coopetition multi-agent systems with input saturation. A novel consensus tracking method combined the adaptive neural control with the finite-time… read more here.
Keywords: finite time; consensus tracking; time; bipartite consensus ... See more keywords
Robust adaptive neural practical fixed-time tracking control for uncertain Euler-Lagrange systems under input saturations
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DOI: 10.1016/j.neucom.2020.05.057
Abstract: Abstract This paper develops a robust adaptive neural practical fixed-time tracking control scheme for Euler-Lagrange systems (ELSs) with unknown dynamics and external disturbances under input saturations. A novel auxiliary dynamic system governed by a smooth… read more here.
Keywords: control scheme; control; tracking control; fixed time ... See more keywords