A Self-Optimizing Intelligent Control Method

Proposes a self-optimizing intelligent control plan. The description of of the model wes combined with analytic model and rule model. The optimal analytic control method, the qualitative knowledge of the classical control theory and the expert experience were in-corporated forming the control strategy. So the control rules and the parameter self-regulation rules rules were better. The performance of the controller approached the optimal control with better robustness and adaptability. This is also confirmed by the result of sedation.