On the exact parameter estimation of robot manipulators with a predefined minimal amount of excitation

DOI10.1002/rnc.7106OpenAlexW4388865199MaRDI QIDQ6117691

Arteaga, Marco A.

Publication date: 20 March 2024

Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/rnc.7106

zbMATH Keywords

finite timerobot manipulatorsDREMpredefined minimal amount of excitation

Mathematics Subject Classification ID

Adaptive control/observation systems (93C40) Estimation and detection in stochastic control theory (93E10) Automated systems (robots, etc.) in control theory (93C85)

Cites Work

• On dynamic regressor extension and mixing parameter estimators: two Luenberger observers interpretations
• Uniform parametric convergence in the adaptive control of mechanical systems
• Parameter estimation of nonlinearly parameterized regressions without overparameterization: application to adaptive control
• On the robust control of robot manipulators
• Finite-Time Stability of Continuous Autonomous Systems
• New Results on Parameter Estimation via Dynamic Regressor Extension and Mixing: Continuous and Discrete-Time Cases
• On the adaptive control of robot manipulators with velocity observers
• Robust Fixed-Time Stability: Application to Sliding-Mode Control
• On Robust Parameter Estimation in Finite-Time Without Persistence of Excitation
• Local Stability and Ultimate Boundedness in the Control of Robot Manipulators
• Strict Lyapunov Functions for Model Reference Adaptive Control: Application to Lagrangian Systems
• Nonlinear Feedback Design for Fixed-Time Stabilization of Linear Control Systems
• Performance Enhancement of Parameter Estimators via Dynamic Regressor Extension and Mixing

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