In order to perform better in target control, this paper proposed a decisionmaking\nsystem method based on fuzzy automata. The decision-making system\nfirst preprocessed the signal and then performed a two-level decision on\nthe target to achieve optimal control. The system consisted of four parts: signal\npreprocessing, contrast decision-making, comprehensive judgment of decision-\nmaking and decision-making result. These decision algorithms in target\ncontrol were given. A concrete application of this decision-making system\nin target control was described. Being compared with other existing methods,\nthis paper used both global features and local features of target, and used the\ndecision-making system of fuzzy automata for the target control. Simulation\nresults showed that the control effect based on the decision-making system\nwas better than that of the other existing methods. Not only it was faster, but\nalso its correct control rate was higher to be 95.18% for the target control.\nThis research on the control system not only developed the FA theory, but also\nstrengthened its application scope in the field of control engineering.
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