New Machine Learning Study Results from Shanghai University Described (Nonuniform Piecewise Membership Function Approximation Methods Based Robust Tracking Control Design of T-s Fuzzy Systems)

摘要

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News - Data detailed on Machine Learning have been presented. According to news originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “For the stability analysis issue of a T-S fuzzy system, improved piecewise membership functions dependent approach is proposed to reduce conservatism. Based on a least-square method, the nonlinear membership functions are approximated by a series of decoupled polynomial functions.”