Fuzzy controller schemes are designed and tested practically as stimulation controllers for universal cardiac pacemaker system. The designed system is used for detecting and optimize the cardiac electrical conduction functions for correction the cardiac cycle events and the hemodynamic properties. The system is simulated using the Simulink Software in MATLAB package.The cardiac pacing therapy which uses of fuzzy controlling algorithm technique is based upon the physiological modeling of the cardiac electrical system as the plant model that introduced in the controlling system of cardiac pacemaker system. The simulation design procedure of the two type of controller and mathematical modeling of cardiac electrical plant model for both compartments the atrial pacing system and the ventricular pacing system through the use of the nonlinear oscillator model of the SAnode and AVnode of the heart, and the robustness points with the stability criteria of the both model are tested and discussed. The hemodynamic plant model of the heart was derived and tested through the simulation of the system, this hemodynamic plant is used as a performance index for the linear operation of the cardiac pacemaker system, and the robustness points are tested and discussed. The performance of the different controllers is tested under different conditions. It is found that the adaptive fuzzy controller scheme is better than the fuzzy controller scheme and can be used for cardiac pacing controlling algorithm for optimize the cardiac performance because the adaptive coupled fuzzy controller response will match the response of the controller with the real ECG signal of the heart, and respond linearly with different cardiac arrhythmia conditions, and the response will be fast, smooth and has zero steady state error.