Composite learning prescribed performance control of strict-feedback nonlinear systems with mismatched parametric uncertainties

DOI10.1016/J.JFRANKLIN.2024.107161zbMATH Open1546.93308MaRDI QIDQ6611384

Heng Liu, Jinde Cao, Wei Xiang

Publication date: 26 September 2024

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

zbMATH Keywords

nonlinear systemprescribed performance controlaccurate estimationinterval excitation

Mathematics Subject Classification ID

Feedback control (93B52) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Large-scale systems (93A15)

Cites Work

• Composite adaptive control of robot manipulators
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• Finite-time prescribed performance adaptive fuzzy control for unknown nonlinear systems
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• Immersion and invariance based command-filtered adaptive backstepping control of VTOL vehicles
• Composite Learning From Adaptive Dynamic Surface Control
• Neural network-based adaptive dynamic surface control of uncertain nonlinear pure-feedback systems
• Robust adaptive state-feedback tracking for nonlinear systems
• Robust Adaptive Control of Feedback Linearizable MIMO Nonlinear Systems With Prescribed Performance
• Composite adaptive dynamic surface control using online recorded data
• Exponential parameter and tracking error convergence guarantees for adaptive controllers without persistency of excitation
• Adaptive reinforcement learning optimal tracking control for strict-feedback nonlinear systems with prescribed performance

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