Anovel variable universe fuzzy controller based on cat swarmoptimization (CSO-VUFC) is proposed to regulate the temperature of\nthe reactor system, which is characterized by nonlinearity, large time delay, and uncertainty. In CSO-VUFC, firstly, corresponding\ncontraction-expansion factors with the function form were, respectively, introduced for the input and output fuzzy universes of\nthe controller. Then, cat swarm optimization was used to optimize the relevant parameter values in the contraction-expansion\nfactor function to achieve the intelligence optimization of the contraction-expansion factors, based on the system performance test\nfunction as an evaluation index; the contradiction between the universe adjustment and control accuracy of the fuzzy controller will\nbe effectively solved to achieve the online self-adjustment of the universe. The simulation results indicate that the variable universe\nadaptive fuzzy control method based on the cat swarm optimization has the features of high precision adjustment, short transient\ntime, and hard real-time.
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