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This paper proposes an approach to fuzzy modeling of a nonlinear servo system application represented by an electromagnetic actuated clutch system. The nonlinear model of the process is simplified and linearized around several operating points of the input-output static map of the process. Discrete-time Takagi-Sugeno (TS) fuzzy models of the processes are derived on the basis of the modal equivalence principle; the rule consequents of these TS fuzzy models contain the state-space models of the process. Three discrete-time TS fuzzy models are suggested and compared. The simulation results validate the new fuzzy models of the electromagnetic actuated clutch system.