A new learning algorithm of fuzzy self - tuning controllers 一种新的模糊自校正控制学习算法
A fuzzy self - tuning controller based on fuzzy competitive learning 基于模糊竞争学习的模糊自校正控制
Two way traffic model and self - tuning controller for freeway around ci ty 环城高速公路双方向交通模型与自校正控制
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 提出了性能反馈的智能控制方法和基于规则的控制器参数自调整机制等智能控制策略。并简化了智能模糊控制算法的设计。
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 结果表明自调节控制器能够良好运转,并且与传统控制方法相比较,具有更好的操作性能,能够实现节能的目的。