Parameters identification of passive force control system based on mind evolutionary computation

Based on mind evolutionary computation (MEC), a method of parameters identification for passive force control system is proposed. First the mathematical model structure of passive force control system is built, then searching the best parameter values between the upper and lower bounds of the parameters using MEC method with the goal that under the inputs of system the output approximates the output of experiments. At last use another group of experiments data to test the efficiency of the identification parameters. The result shows that the identification parameters can approximate the real system well. This identification method is feasible and effective for parameters identification of complex dynamic system.