【正文】 h. 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。 (5)變結(jié)構(gòu)控制系統(tǒng)。 (2)自適應(yīng)模糊控制器 ,在運行中自動修改、完善和調(diào)整規(guī)則 ,使被控過程的控制效果不斷提高 ,達到預(yù)期的效果 。因此自適應(yīng)控制系統(tǒng)主要用于過程模型未知或過程模型結(jié)構(gòu)已知但參數(shù)未知且隨機的系統(tǒng)。 (2)采用語音控制 。 (3)提高系統(tǒng)的學(xué)習(xí)能力和自主能力 。 自適應(yīng)控制系統(tǒng)的類型主要有自校正控制系統(tǒng) ,模型參考自適應(yīng)控制系統(tǒng) ,自尋最優(yōu)控制系統(tǒng) ,學(xué)習(xí)控制系統(tǒng)等。 (3)智能模糊控制器 ,它把人、人工智能和神經(jīng)網(wǎng)絡(luò)三者聯(lián)系起來 ,實現(xiàn)綜合信息處理 ,使系統(tǒng)既具有靈活的推理機制、啟發(fā)性知識與產(chǎn)生式規(guī)則表示 ,又具有多種層次、多種類型的控制規(guī)律選擇。 神經(jīng)網(wǎng)絡(luò)控制的主要特點是 :可以描述任意非線性系統(tǒng) 。s structure and parameters to adapt to the change of environment, to reach the required control performance indicators. Adaptive control system should have three basic functions: (1) Identification of the object structure and parameters so as to accurately established the mathematical model of the controlled objects。 Quick optimization calculation capacity。 (3) To be automatic correction controller parameters. So the adaptive control system is mainly used to process model unknown or process model structure known but unknown parameters and the random system. Adaptive control system of main type is used for the control system, the model reference adaptive control system, the optimal control system for, learn to control system, etc. Recently, nonlinear adaptive control system based on neural work adaptive control and get attention, and put forward some new methods. 4. Robust Control (Robust Control) Process control is an important issue facing is model uncertainty, robust control mainly to solve the model uncertainty problem, but in processing method and adaptive control different. Adaptive control of basic idea is to carry out the model parameter of identify, and then to design the controller. Controller parameters adjustment depends on the renewal of the model parameters, not in possible uncertainty into consideration. And robust control in design as far as possible when the controller using uncertainty information to design a controller, making the uncertain parameters appear still could satisfy the performance requirements. Robust control think of the uncertainty of the system can be used to describe the model collection system, the model is not only, can be a model of any one of the elements in the collection, but in the controller design, can make the model collection of elements meet the requirements. Robust control of a major problem is robust stability, now monly used in three wa