A new learning algorithm of fuzzy self - tuning controllers 一種新的模糊自校正控制學(xué)習(xí)算法
A fuzzy self - tuning controller based on fuzzy competitive learning 基于模糊競爭學(xué)習(xí)的模糊自校正控制
Two way traffic model and self - tuning controller for freeway around ci ty 環(huán)城高速公路雙方向交通模型與自校正控制
The intelligent method based on performance feedback and parameter self - tuning controller based on rules have been proposed , which simplify the design of intelligent fuzzy control algorithm 提出了性能反饋的智能控制方法和基于規(guī)則的控制器參數(shù)自調(diào)整機(jī)制等智能控制策略。并簡化了智能模糊控制算法的設(shè)計。
Results obtained from a hybrid simulation of a heating plant , building and environment show that the self - tuning controller behaves well and has superior performance characteristics compared to conventional start controllers 結(jié)果表明自調(diào)節(jié)控制器能夠良好運(yùn)轉(zhuǎn),并且與傳統(tǒng)控制方法相比較,具有更好的操作性能,能夠?qū)崿F(xiàn)節(jié)能的目的。