In HVAC systems, there exist severe nonlinearity, time-varying nature, disturbances and uncertainty. A novel predictive functional control strategy based on Takagi-Sugeno fuzzy model was developed in order to settie the difficulty to control HVAC systems. The T - S fuzzy model of controlled process was obtained using the least squares method, then basing on the fuzzy T - S global linear predictive model, the process was controlled by the predictive functional control strategy. Finally, the simulation results in HVAC systems control application showed that the proposed fuzzy model predictive functional control approach improves tracking effect and robustness. Compared with the conventional PID control approaches, this FPFC approach has better dynamical performance such as less overshoot and shorter regulation time, etc.