Adaptive NN zeta-backstepping control with its application to a quadrotor over
This paper presents an adaptive neural network (NN) zeta-backstepping control method for a class of uncertain nonlinear systems with unknown nonlinearities.
Yang, X. +3 more
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Fixed-time adaptive fuzzy command filtering control for a two-joint robotic manipulator with input dead zone saturation and time-varying delay. [PDF]
Cao X, Zhang H, Zhang P.
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Adaptive robust backstepping control for quadcopter UAV based on integral sliding mode surface. [PDF]
Mao Y, Deng C, Qing D, Lv W, Yu Y.
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Guidance Navigation and Control for Quadrotor UAV Using Lyapunov-Based Backstepping. [PDF]
Sasiadek JZ, Shuker A, Al-Isawi MMA.
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Adaptive Neural Network-Based Tracking Control for a Single-Link Flexible Manipulator Under State Constraints. [PDF]
Liu E, Lai W, Dian S.
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Integrating Lyapunov based backstepping and neuro fuzzy logic with sliding mode control for precise trajectory tracking of differential drive robots. [PDF]
Xu P, Maghsoudniazi M, Maghsoudniazi Y.
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Formation tracking control of multiple USVs using ADRC with prescribed performance. [PDF]
Huo M, Mao W, Wang X.
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High-Order Backstepping forĀ Adaptive Control
Abstract In this chapter, two types of high-order strict feedback system (SFS) models with parametric uncertainties are introduced, namely, the second- and high-order SFS models, which possess a common full-actuation structure. Using the direct design approaches for adaptive stabilizing controllers and adaptive tracking controllers of
openaire +1 more source
Adaptive observed-based backstepping control for quantized robot arms. [PDF]
Du Z, Tang H, Gao S, Cai Y.
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Event-Triggered Prescribed Performance Control for Maglev Systems Subject to Multiple Constraints. [PDF]
Zhu C, Chen X, Guo X, Sun W.
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