The article considers the problem of stabilizing the parameters of a non-stationary technological process described by the stochastic chaos model. As the basic option, we consider channel strategies that utilize deviations of the controlled values from the acceptable range (i.e., a channel). We investigate the potential capabilities of these control strategies via computational experiments. We show that the main problem of non-stationary process mode stabilization is the extremely high instability of the system component of its observation series, which implements stochastic chaos. Next, we provide improved channel control strategies, and indicate what measures could be taken to increase the efficiency of channel strategies in stabilizing non-stationary processes.