【正文】 發(fā)研究問(wèn)題 ,有代表性的是 Hoo 控制 ,它用作魯棒性分析的有效性體現(xiàn)在外部擾動(dòng)不再假設(shè)為固定的 ,而只要求能量有界即可。 (Fuzzy Control) 模糊控制借助模糊數(shù)學(xué)模擬人的思維方法 ,將工藝操作人員的經(jīng)驗(yàn)加以總結(jié) ,運(yùn)用語(yǔ)言變量和模糊邏輯理論進(jìn)行推理和決策 ,對(duì)復(fù)雜對(duì)象進(jìn)行控制。 1974年英國(guó)工程師 Fuzzy集合理論用于鍋爐和蒸氣機(jī)的控制以來(lái) ,開辟了 Fuzzy 控制的新領(lǐng)域 ,特別是對(duì)于大時(shí)滯、非線性等難以建立精確數(shù)學(xué)模型的復(fù)雜系統(tǒng) ,通過(guò)計(jì)算機(jī)實(shí)現(xiàn)模糊控制往 往能取得很好的結(jié)果。 (2)自適應(yīng)模糊控制器 ,在運(yùn)行中自動(dòng)修改、完善和調(diào)整規(guī)則 ,使被控過(guò)程的控制效果不斷提高 ,達(dá)到預(yù)期的效果 。 模糊控制的特點(diǎn)是不需要精確的數(shù)學(xué)模型 ,魯棒性強(qiáng) ,控制效果好 ,容易克服非線性因素的影響 ,控制方法易于掌握。又有人提出利用同倫 BP 網(wǎng)絡(luò)記憶模糊規(guī)則 ,以 “聯(lián)想方式 ”使用這些經(jīng)驗(yàn)。非線性復(fù)雜系統(tǒng)的模糊建模 ,模糊規(guī)則的建立和模糊推理算法的研究 。 (Neural Network Control) 神經(jīng)網(wǎng)絡(luò)是由所謂神經(jīng)元的簡(jiǎn)單單元按并行結(jié)構(gòu)經(jīng)過(guò)可調(diào)的連接權(quán)構(gòu)成的網(wǎng)絡(luò)。 神經(jīng)網(wǎng)絡(luò)控制就是利用神經(jīng)網(wǎng)絡(luò)這種工具從機(jī)理上對(duì)人腦進(jìn)行簡(jiǎn)單結(jié)構(gòu)模擬的新型控制和辨識(shí)方法。常見的神經(jīng)網(wǎng)絡(luò)控制結(jié)構(gòu)有 : (1)參數(shù)估計(jì)自適應(yīng)控制系統(tǒng) 。 (3)預(yù)測(cè)控制系統(tǒng) 。 (5)變結(jié)構(gòu)控制系統(tǒng)。用于非線性系統(tǒng)的辨識(shí)和估計(jì) ?？焖?優(yōu)化計(jì)算能力 。 最近有人提出以 Hopfield 網(wǎng)絡(luò)實(shí)現(xiàn)一種多分辨率體視協(xié)同算法 ,該算法以逐級(jí)融合的方式自動(dòng)完成由粗到細(xì) ,直至全分辨率的匹配和建立。今后需進(jìn)一步探討的問(wèn)題是提高網(wǎng)絡(luò)的學(xué)習(xí)速度 ,提出新的網(wǎng)絡(luò)結(jié)構(gòu) ,創(chuàng)造出更適用于控制的專用神經(jīng)網(wǎng)絡(luò)。 (2) The core of intelligent control in highrise control, namely the organization level, its main task is to the actual environment or processes organizations。 (2) Using voice control。 (4) Use of the existing nonlinear technical analysis of the closedloop system characteristics。s attention, is a kind of practical nonlinear control of the synthesis method. (3) Differential geometry method: in the past 20 years, differential geometry method, nonlinear control systems research has been the mainstream, it to nonlinear system structure analysis, deposition, and structure of the relevant control design bring great convenience. Use the method of differential geometry nonlinear system is the inevitable oute of the development of modern mathematics, as Italy isidori professor pointed out: with differential geometry nonlinear system method to study the achievements, like 50 s with the Laplace transformation and plex function theory to single input and single output system research, or with linear algebra to multivariable systems research. But this approach also has its shortings, reflected in its plexity, without the hierarchy, the accurate linear control and spatial measure is destroyed, etc. So recently and scholars, the introduction of new more profound mathematical tools to develop new direction, for example: differential dynamics, differential topology and algebra topology, algebra how a few. 3. Adaptive Control (Adaptive Control) Adaptive control system by constantly measuring system of input, the state, output or performance parameters, and gradually to understand and grasp object, and then according to the information obtained according to certain design method, make decisions to update the controller39。 (2) Given a control law in order to make the controlled system reach the expected performance index。 (2) Iyapunov method of uncertainty to state space model appear is a useful tool。t mean the controller is not set, it is the concept of knowledge and said the fuzziness, it pleted work is entirely sure. In 1974 the British engineer for the first time amdam the Fuzzy set theory for the boiler and steam machine control