Approximation Method for TS(Takagi-Sugeno) Fuzzy Model in V-type Scope Using Rational Bezier Curves

TS(Takagi-Sugeno) Fuzzy Model V-type구간 Rational Bezier Curves를 이용한 Approximation개선에 관한 연구

This paper proposes a new 75 fuzzy model approximation method which reduces error in nonlinear fuzzy model approximation over the V-type decision rules. Employing rational Bezier curves used in computer graphics to represent curves or surfaces, the proposed method approximates the decision rule by constructing a tractable linear equation in the highly non-linear fuzzy rule interval. This algorithm is applied to the self-adjusting air cushion for spinal cord injury patients to automatically distribute the patient's weight evenly and balanced to prevent decubitus. The simulation results indicate that the performance of the proposed method is bettor than that of the conventional TS Fuzzy model in terms of error and stability.