The method of system identification based on dynamic compensation parameter and improved self-adaptive genetic algorithms

The paper puts forward the method of big inertia system identification based on dynamic compensation principle and improved self-adaptive genetic algorithms which is easily applied to on tine operation and process control and so on. Because this algorithms takes both "speedy convergence" and "overall optimization" into consideration, it guarantees not only its calculation speed but also gains better identification result. Simulation result shows that the method is effective.