Adaptive neural network sliding mode control for quad tilt rotor aircraft
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Publication:1688106
DOI10.1155/2017/7104708zbMath1377.93056OpenAlexW2763781808MaRDI QIDQ1688106
Yanchao Yin, Hongwei Niu, Xiaobao Liu
Publication date: 5 January 2018
Published in: Complexity (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2017/7104708
multicommunity bidirectional drive collaborative search algorithmneural network sliding mode controlRadial Basis Function (RBF) neural network
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Cites Work
- Takeoff/landing control based on acceleration measurements for VTOL aircraft
- Backstepping approach for controlling a quadrotor using Lagrange form dynamics
- Robust output feedback regulation of minimum-phase nonlinear systems using conditional integrators
- Tracking control of uncertain switched nonlinear cascade systems: a nonlinear \(H_\infty\) sliding mode control method
- Discrete-Time Terminal Sliding Mode Control Systems Based on Euler's Discretization
- Robust adaptive finite‐time parameter estimation and control for robotic systems
- Improving transient performance of adaptive control via a modified reference model and novel adaptation
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