Guaranteeing prescribed output tracking performance for air-breathing hypersonic vehicles via non-affine back-stepping control design

Nonlinear disturbance observer based robust backstepping control for a flexible air-breathing hypersonic vehicle

(2016) Guanghui Wu et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Approximate Back-Stepping Fault-Tolerant Control of the Flexible Air-Breathing Hypersonic Vehicle

(2016) Hao An et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

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

(2016) Xiangwei Bu et al.   INFORMATION SCIENCES

Guaranteeing preselected tracking quality for air-breathing hypersonic non-affine models with an unknown control direction via concise neural control

(2016) Xiangwei Bu et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

Exponential sliding mode tracking control via back-stepping approach for a hypersonic vehicle with mismatched uncertainty

(2016) Yuanyuan Zhang et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

Neural network based dynamic surface control of hypersonic flight dynamics using small-gain theorem

(2016) Bin Xu et al.   NEUROCOMPUTING

A guaranteed transient performance-based adaptive neural control scheme with low-complexity computation for flexible air-breathing hypersonic vehicles

(2016) Xiangwei Bu et al.   NONLINEAR DYNAMICS

Active disturbance rejection based trajectory linearization control for hypersonic reentry vehicle with bounded uncertainties

(2015) Xingling Shao et al.   ISA TRANSACTIONS

Longitudinal Control Strategy for Hypersonic Accelerating Vehicles

(2015) Dawid Preller et al.   JOURNAL OF SPACECRAFT AND ROCKETS

Tracking differentiator design for the robust backstepping control of a flexible air-breathing hypersonic vehicle

(2015) Xiangwei Bu et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

Neural Network-Based Adaptive Backstepping Control for Hypersonic Flight Vehicles with Prescribed Tracking Performance

(2015) Zhu Guoqiang et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Neural discrete back-stepping control of hypersonic flight vehicle with equivalent prediction model

(2015) Bin Xu et al.   NEUROCOMPUTING

Minimal-learning-parameter technique based adaptive neural control of hypersonic flight dynamics without back-stepping

(2015) Bin Xu et al.   NEUROCOMPUTING

Continuous nonlinear asymptotic tracking control of an air-breathing hypersonic vehicle with flexible structural dynamics and external disturbances

(2015) Yao Zhang et al.   NONLINEAR DYNAMICS

Robust adaptive neural control of flexible hypersonic flight vehicle with dead-zone input nonlinearity

(2015) Bin Xu   NONLINEAR DYNAMICS

Robust $L_{\bm \infty}$-Gain Fuzzy Disturbance Observer-Based Control Design With Adaptive Bounding for a Hypersonic Vehicle

(2014) Huai-Ning Wu et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Continuous high order sliding mode controller design for a flexible air-breathing hypersonic vehicle

(2014) Jie Wang et al.   ISA TRANSACTIONS

Robust adaptive dynamic surface control design for a flexible air-breathing hypersonic vehicle with input constraints and uncertainty

(2014) Qun Zong et al.   NONLINEAR DYNAMICS

A Singularly Perturbed System Approach to Adaptive Neural Back-stepping Control Design of Hypersonic Vehicles

(2013) Daoxiang Gao et al.   JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS

Adaptive neural control based on HGO for hypersonic flight vehicles

(2011) Bin Xu et al.   Science China-Information Sciences

Lyapunov-Based Exponential Tracking Control of a Hypersonic Aircraft with Aerothermoelastic Effects

(2010) Z. D. Wilcox et al.   JOURNAL OF GUIDANCE CONTROL AND DYNAMICS

Direct adaptive fuzzy control of nonlinear strict-feedback systems

(2009) Bing Chen et al.   AUTOMATICA

NN-based output feedback adaptive variable structure control for a class of non-affine nonlinear systems: A nonseparation principle design

(2009) Hongbin Du et al.   NEUROCOMPUTING