A hierarchical adaptive fuzzy control system for an isolated urban traffic intersection is proposed , and an evolution strategy is used to modify the fuzzy membership functions of the system 摘要提出一種面向城域單交叉路口的自適應(yīng)分級模糊控制系統(tǒng),采用進化策略對分級模糊控制器的模糊隸屬度函數(shù)進行離線優(yōu)化調(diào)整。
Using gaussian fuzzy membership functions in conjunction with the least - squares principle , a novel approach is developed for intelligent fuzzy modeling and adaptive control strategy of uncertain chaotic system 利用高斯模糊隸屬函數(shù)和最小二乘法,在無需求解系統(tǒng)不動點的情況下,可將混沌運動鎮(zhèn)定到任意指定目標(biāo)位置。
This paper introduces an evading obstacles method of mobile robot which is in an uncertain environment , and the mobile robot can evade the obstacles detected by means of fuzzy control algorithm , which adopts fuzzy membership function with real physical content 摘要闡述了在不確定環(huán)境下,機器人通過在探測過程中采用基于實際物理意義的隸屬函數(shù)的模糊算法來躲避障礙物的方法。
The paper analyzed the relationship of the scale factors and several main performance indexes of the system ' s respond curve like over - regulation , divergence , surge - degree , steady - state error and transient time , and denoted these indexes by some fuzzy membership functions 溫室溫度響應(yīng)的主要動態(tài)性能指標(biāo)包括:超調(diào)量、系統(tǒng)發(fā)散程度、系統(tǒng)振蕩程度、穩(wěn)態(tài)誤差、過渡過程時間等。
Then employing neural networks learning techniques , fuzzy logic rules , input - output fuzzy membership functions and weights in networks can be easily tuned . so rule matching is reduced , inference process is accelerated , adaptability of the system is greatly improved 再利用神經(jīng)網(wǎng)絡(luò)學(xué)習(xí)能力便很容易修改規(guī)則庫中的模糊規(guī)則以及隸屬函數(shù)和網(wǎng)絡(luò)權(quán)值等參數(shù),這樣大大減少了規(guī)則匹配過程,加快了推理速度,從而極大程度地提高了系統(tǒng)的自適應(yīng)能力。