Second-Order Training of Adaptive Critics for Online Process Control

James Govindasamy, Seán McLoone, George Irwin

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)


A new algorithm for training of nonlinear optimal neuro-controllers (in the form of the model-free, action-dependent, adaptive critic paradigm). Overcomes problems with existing stochastic backpropagation training: need for data storage, parameter shadowing and poor convergence, offering significant benefits for online applications.
Original languageEnglish
Pages (from-to)381-385
Number of pages5
JournalIEEE Transactions on Systems, Man and Cybernetics Part B
Issue number2
Publication statusPublished - Apr 2005

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Artificial Intelligence
  • Human-Computer Interaction


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