Abstract: To meet the strict performance requirements in modern control design, an adaptive parameter regulation algorithm based on guardian maps theory is proposed. This algorithm sets up the direct constraints between the controller gain parameters and the closed loop system poles. By the closed loop system poles assignment, dynamic characteristics are improved and performance is steadier, which achieves the expected performance requirements. The controller structure is fixed and independent of many balance points in the design process. As long as an initial controller is given, the corresponding group of such controller can be automatically generated to meet the controller targets and to realize the adaptive parameter regulation. Simulation results show that this algorithm can adaptively obtain the control gain parameters.