To improve the dynamical property and decoupling capability for a class of multivariable nonlinear systems with strong coupling , based on the principle of decoupling and neural network , a cascade - connected self - adaptive fuzzy - neural network decoupling controller is proposed 摘要為提高多變量、非線性和強(qiáng)耦合系統(tǒng)的動(dòng)態(tài)特性和解耦能力,根據(jù)解耦原理和神經(jīng)網(wǎng)絡(luò)思想,提出一種兩級(jí)串聯(lián)結(jié)構(gòu)的自適應(yīng)模糊神經(jīng)網(wǎng)絡(luò)解耦控制器。
The model of the inverted pendulum is : as an equipment , low cost , simple machinery , easy to perform all kinds of controls in simulation and digital ; as a controlled object , quite complex , high orders , instability , non - linearity , strong coupling system . we can keep it stable through some control method 倒立擺的典型性在于:作為一個(gè)裝置,其成本低廉,結(jié)構(gòu)簡(jiǎn)單,便于模擬,數(shù)字實(shí)現(xiàn)不同方式控制;作為被控對(duì)象,又相當(dāng)復(fù)雜,是高階次、不穩(wěn)定、非線性、強(qiáng)耦合系統(tǒng),只有采取行之有效的控制方法方能使之穩(wěn)定。