Extremum seeking-based adaptive control for electromagnetic actuators

DOI10.1080/00207179.2014.964779zbMath1328.93141OpenAlexW2026711907MaRDI QIDQ5265930

Mouhacine Benosman, Gökhan M. Atınç

Publication date: 29 July 2015

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

Full work available at URL: https://doi.org/10.1080/00207179.2014.964779

zbMATH Keywords

nonlinear controladaptive controllearning controlelectromagnetic actuators

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Nonlinear systems in control theory (93C10) Application models in control theory (93C95) Adaptive control/observation systems (93C40)

Related Items (4)

Extremum seeking control with attenuated steady-state oscillations ⋮ 100 years of extremum seeking: a survey ⋮ Hybrid online learning control in networked multiagent systems: A survey ⋮ Learning‐based iterative modular adaptive control for nonlinear systems

Cites Work

• Unnamed Item
• A non-gradient approach to global extremum seeking: an adaptation of the Shubert algorithm
• On non-local stability properties of extremum seeking control
• Extremum seeking control for soft landing of an electromechanical valve actuator
• Stability of extremum seeking feedback for general nonlinear dynamic systems
• Real‐Time Optimization by Extremum‐Seeking Control
• A characterization of integral input-to-state stability
• New characterizations of input-to-state stability
• Adaptive nonlinear design with controller-identifier separation and swapping
• Necessary and Sufficient Small Gain Conditions for Integral Input-to-State Stable Systems: A Lyapunov Perspective

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