Improved interval type-2 fuzzy logic controller
Liu Hong-hai · Kongzhi yu juece · 2009
In this paper,an improved interval type-2 fuzzy logic controller is proposed to deal with the problem of losing uncertain information in the type-2 fuzzy type reduction process.By fully using the type-2 fuzzy reasoning results,the interval fuzzy outputs are re-optimized.The optimal performance can be directly related with the controlled system.Based on this,the crisp control outputs are obtained to improve the whole system performance.Simulations on the non-linerar vehicle active suspension system are given,and the results show the effectiveness of proposed method.