Optimal iterative learning control for end-point product qualities in semi-batch process based on neural network model

DOI10.1007/s11432-009-0123-8zbMath1182.93068OpenAlexW2084769547MaRDI QIDQ848232

Jin Dong, Jie Zhang, Zhihua Xiong

Publication date: 3 March 2010

Published in: Science in China. Series F (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11432-009-0123-8

zbMATH Keywords

neural networkiterative learning controlproduct qualitysemi-batch process

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Nonlinear systems in control theory (93C10) Biochemistry, molecular biology (92C40) Control/observation systems governed by ordinary differential equations (93C15)

Cites Work

• Neural networks for control systems - a survey
• Model-based iterative learning control with a quadratic criterion for time-varying linear systems
• Iterative learning control for discrete-time systems with exponential rate of convergence
• Advances in Neural Networks – ISNN 2005