An output-recurrent-neural-network-based iterative learning control for unknown nonlinear dynamic plants

DOI10.1155/2012/545731zbMath1235.93270OpenAlexW2080709925WikidataQ58907987 ScholiaQ58907987MaRDI QIDQ763174

Chiang-Ju Chien, Ying-Chung Wang

Publication date: 9 March 2012

Published in: Journal of Control Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2012/545731

zbMATH Keywords

adaptive lawsiterative learning control systemLyapunov like analysisoutput recurrent neural identifier (ORNI)output recurrent neural network (ORNN)

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Stochastic learning and adaptive control (93E35)

Related Items (1)

Design of iterative learning control method with global convergence property for nonlinear systems

Cites Work

• Adaptive fuzzy control of a class of SISO nonaffine nonlinear systems
• Adaptive robust iterative learning control with dead zone scheme
• Adaptive fuzzy control for a class of uncertain nonaffine nonlinear systems
• Adaptive fuzzy learning control for a class of nonlinear dynamic systems
• A sampled-data iterative learning control using fuzzy network design
• Editorial: Special issue on iterative learning control
• A fully automated recurrent neural network for unknown dynamic system identification and control
• Observer Based Learning Control for a Class of Nonlinear Systems With Time-Varying Parametric Uncertainties

This page was built for publication: An output-recurrent-neural-network-based iterative learning control for unknown nonlinear dynamic plants