Robust Adaptive Fuzzy Control for Second-Order Euler–Lagrange Systems With Uncertainties and Disturbances via Nonlinear Negative-Imaginary Systems Theory-Reference-Cited by-同舟云学术

Robust Adaptive Fuzzy Control for Second-Order Euler–Lagrange Systems With Uncertainties and Disturbances via Nonlinear Negative-Imaginary Systems Theory

Published:2024-09 Issue:9 Volume:54 Page:5102-5114
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Tran Vu Phi¹^ORCID,Mabrok Mohamed A.²^ORCID,Anavatti Sreenatha G.¹^ORCID,Garratt Matthew A.¹^ORCID,Petersen Ian R.³

Affiliation:

1. School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia

2. Department of Mathematics, Statistics and Physics, College of Arts and Sciences, Mathematics Program, Qatar University, Doha, Qatar

3. Research School of Electrical Energy and Materials Engineering, ANU College of Engineering and Computer Science, The Australian National University, Canberra, ACT, Australia

Funder

Internal funding from UNSW Canberra

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221036/10646531/10457559.pdf?arnumber=10457559

Reference50 articles.

1. Robust Fuzzy Q-Learning-Based Strictly Negative Imaginary Tracking Controllers for the Uncertain Quadrotor Systems

2. Hybrid adaptive negative imaginary- neural-fuzzy control with model identification for a quadrotor

3. Barrier Lyapunov Function Based Learning Control of Hypersonic Flight Vehicle With AOA Constraint and Actuator Faults

4. Nonlinear Disturbance Observer Based Adaptive Explicit Nonlinear Model Predictive Control Design for a Class of Nonlinear MIMO System

5. A Robust Self-Adaptive Interval Type-2 TS Fuzzy Logic for Controlling Multi-Input–Multi-Output Nonlinear Uncertain Dynamical Systems

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