Neural-approximation-based robust adaptive control of flexible air-breathing hypersonic vehicles with parametric uncertainties and control input constraints

DOI10.1016/j.ins.2016.01.093zbMath1398.93261OpenAlexW2270561326MaRDI QIDQ1991870

Daozhi Wei, Xiangwei Bu, Jiaqi Huang, Xiaoyan Wu

Publication date: 30 October 2018

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2016.01.093

zbMATH Keywords

robust adaptive controlflexible air-breathing hypersonic vehicle (FAHV)radial basis function neural network (RBFNN)control input constraintminimal-learning parameter (MLP)

Mathematics Subject Classification ID

Application models in control theory (93C95) Design techniques (robust design, computer-aided design, etc.) (93B51) Adaptive control/observation systems (93C40)

Related Items (14)

Guaranteeing preselected tracking quality for air-breathing hypersonic non-affine models with an unknown control direction via concise neural control ⋮ Guaranteeing prescribed output tracking performance for air-breathing hypersonic vehicles via non-affine back-stepping control design ⋮ Adaptive constraint‐following control for uncertain nonlinear mechanical systems with measurement error ⋮ A new adaptive neural control scheme for hypersonic vehicle with actuators multiple constraints ⋮ Reinforcement learning for robust adaptive control of partially unknown nonlinear systems subject to unmatched uncertainties ⋮ Prescribed chattering reduction control for quadrotors using aperiodic signal updating ⋮ Robust adaptive neural control of morphing aircraft with prescribed performance ⋮ Learning-based adaptive fault tolerant control for hypersonic flight vehicles with abrupt actuator faults and finite time prescribed tracking performance ⋮ A fuzzy wavelet neural network-based approach to hypersonic flight vehicle direct nonaffine hybrid control ⋮ Data-based robust adaptive control for a class of unknown nonlinear constrained-input systems via integral reinforcement learning ⋮ Command filtered robust adaptive NN control for a class of uncertain strict-feedback nonlinear systems under input saturation ⋮ Single-parameter-learning-based fuzzy fault-tolerant output feedback dynamic surface control of constrained-input nonlinear systems ⋮ Adaptive diagnosis and compensation for hypersonic flight vehicle with multisensor faults ⋮ An improvement of single-network adaptive critic design for nonlinear systems with asymmetry constraints

Cites Work

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