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Optimal Adaptive Tracking Control of Partially Uncertain Nonlinear Discrete-Time Systems Using Lifelong Hybrid Learning

  • Missouri University of Science and Technology

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)17254-17265
Number of pages12
JournalIEEE Transactions on Neural Networks and Learning Systems
Volume35
Issue number12
DOIs
StatePublished - 2024

ASJC Scopus Subject Areas

  • Software
  • Computer Science Applications
  • Computer Networks and Communications
  • Artificial Intelligence

Keywords

  • Discrete-time (DT) concurrent learning
  • experience replay
  • hybrid learning
  • lifelong learning (LL)
  • multilayer neural networks (MNNs)
  • optimal tracking control (OTC)

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