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We present the design of a Gain-Scheduled Mean-Field-Type Control (GS-MFTC) for a nonlinear 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 controldoi:10.1109/access.2020.2997249 fatcat:oqgt4aatmfhsljqnulqxibrjvi