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(jìng)爭(zhēng)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
therefore, studying practical and effective method to adjust or tune controllers is the urgent demand to improve the automatic level and promote the production efficiency of thermopower processes 因此,研究實(shí)用、有效的熱工控制系統(tǒng)優(yōu)化整定方法,是提高熱工自動(dòng)化水平和生產(chǎn)效率的迫切要求。
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(jiǎn)化了智能模糊控制算法的設(shè)計(jì)。