Adaptive control of nonlinear discrete-time systems by using OS-ELM neural networks

DOI10.1155/2014/267609zbMath1406.93164OpenAlexW1977025183WikidataQ59037387 ScholiaQ59037387MaRDI QIDQ1723720

Da-wei Ding, Chao Jia, De-Xin Liu, Xiao-Li Li

Publication date: 14 February 2019

Published in: Abstract and Applied Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/267609

zbMATH Keywords

adaptive controlnonlinear discrete-time systemsOS-ELM neural networks

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Discrete-time control/observation systems (93C55)

Related Items

Multiple model adaptive tracking control based on adaptive dynamic programming

Cites Work

• Unnamed Item
• Unnamed Item
• Robust adaptive control for nonlinear discrete-time systems by using multiple models
• Adaptive tracking control of uncertain MIMO nonlinear systems with input constraints
• Output feedback adaptive control of a class of nonlinear discrete-time systems with unknown control directions
• Robust adaptive control of a class of nonlinear systems with unknown dead-zone.
• Human face recognition based on multidimensional PCA and extreme learning machine
• Directly adaptive fuzzy control of discrete-time chaotic systems by least squares algorithm with dead-zone
• Adaptive control of discrete-time systems using multiple models
• Learning representations by back-propagating errors