Adaptive control of unknown fuzzy disturbance-based uncertain nonlinear systems: application to hypersonic flight dynamics

DOI10.1007/S41478-023-00687-ZMaRDI QIDQ6649387

Anoop Kumar Tiwari, Arun Bali, Rahul Kumar, Siddharth Singh Chouhan, Uday Pratap Singh

Publication date: 5 December 2024

Published in: The Journal of Analysis (Search for Journal in Brave)

zbMATH Keywords

adaptive controlLyapunov stabilitynonlinear uncertain systemsfuzzy external disturbanceshypersonic flight dynamicsNASA-LRC model

Mathematics Subject Classification ID

Biology and other natural sciences (92-XX) Systems theory; control (93-XX)

Cites Work

• Adaptive neural network tracking design for a class of uncertain nonlinear discrete-time systems with dead-zone
• Neural-network-based approach to finite-time optimal control for a class of unknown nonlinear systems
• Fractional modeling and controller design of robotic manipulators. With hardware validation
• Decoupled sliding-mode with fuzzy-neural network controller for nonlinear systems
• Hybrid neural network controller for uncertain nonlinear discrete-time systems with non-symmetric dead zone and unknown disturbances
• Hybrid neural network control for nonlinear continuous time systems with time delays and dead zone input
• Neuro-fuzzy elman wavelet control for nonlinear uncertain systems with fuzzy input and unknown fuzzy disturbances: application to robotics

This page was built for publication: Adaptive control of unknown fuzzy disturbance-based uncertain nonlinear systems: application to hypersonic flight dynamics

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6649387)