Gain-Scheduled Mean-Field-Type Control for a Non-Linear Continuous Stirred Tank Reactor

Julian Barreiro-Gomez, Julian Barreiro-Gomez, Hamidou Tembine, Hamidou Tembine

Research output: Contribution to journalArticlepeer-review


We present the design of a Gain-Scheduled Mean-Field-Type Control (GS-MFTC) for a non-linear Continuous Stirred Tank Reactor (CSTR). The MFTC controllers belong to a class of stochastic control techniques considering the distribution of the system states, and control inputs, while minimizing the variance of both variables of interest. The underlying risk-aware control problem is solved explicitly for the infinite horizon in order to determine the required gains composing the feedback control input law. We present both the risk-neutral approach involving the first and second moment (mean and variance terms), and the risk-sensitive approach involving higher-order terms.

Original languageEnglish (US)
Article number9099218
Pages (from-to)97783-97792
Number of pages10
JournalIEEE Access
StatePublished - 2020


  • Gain-scheduled mean-field-type control
  • continuous stirred tank reactor
  • risk minimization
  • risk-neutral mean-field-type control
  • risk-sensitive mean-field-type control
  • stochastic control

ASJC Scopus subject areas

  • General Computer Science
  • General Materials Science
  • General Engineering


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