Adaptive neural control based on high order integral chained differentiator for morphing aircraft

DOI10.1155/2015/787931zbMath1394.93144OpenAlexW1837423549WikidataQ59119874 ScholiaQ59119874MaRDI QIDQ1666575

Jingchao Lu, Jingping Shi, Jahanzeb Rajput, Zhonghua Wu, Wen Ma

Publication date: 27 August 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2015/787931

Mathematics Subject Classification ID

Application models in control theory (93C95) Adaptive control/observation systems (93C40)

Related Items (4)

Modified adaptive neural dynamic surface control for morphing aircraft with input and output constraints ⋮ Robust adaptive neural control of morphing aircraft with prescribed performance ⋮ Constrained adaptive neural control of nonlinear strict-feedback systems with input dead-zone ⋮ Disturbance rejection control of morphing aircraft based on switched nonlinear systems

Cites Work

• Wheeled mobile robot RBFNN dynamic surface control based on disturbance observer
• Adaptive neural control based on HGO for hypersonic flight vehicles
• Adaptive dynamic surface control for linear multivariable systems
• Fault-tolerant flight control and guidance systems. Practical methods for small unmanned aerial vehicles
• Unnamed Item

This page was built for publication: Adaptive neural control based on high order integral chained differentiator for morphing aircraft