Open-closed-loop PD iterative learning control with a variable forgetting factor for a two-wheeled self-balancing mobile robot

DOI10.1155/2019/5705126zbMath1429.93244OpenAlexW2967062690MaRDI QIDQ2331313

Chenghong Zhang, Jian Dong, Bin He, Gang Li

Publication date: 29 October 2019

Published in: Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2019/5705126

Mathematics Subject Classification ID

Automated systems (robots, etc.) in control theory (93C85) Iterative learning control (93B47)

Related Items (1)

Observer-based controllers for two-wheeled inverted robots with unknown input disturbance and model uncertainty

Uses Software

• LLWM

Cites Work

• Spatial-based iterative learning control for motion control applications
• Robust \(H_\infty\) control of an observer-based repetitive-control system
• Unified iterative learning control schemes for nonlinear dynamic systems with nonlinear input uncertainties
• A two-wheeled self-balancing robot with the fuzzy PD control method
• Laplace transform inversion on the real line is truly ill-conditioned
• Compensation for state-dependent nonlinearity in a modified repetitive control system
• A High-Order Internal Model Based Iterative Learning Control Scheme for Nonlinear Systems With Time-Iteration-Varying Parameters
• A coupled method of Laplace transform and Legendre wavelets for nonlinear Klein-Gordon equations

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