本文關(guān)鍵詞： 切換系統(tǒng) 純反饋非線性系統(tǒng) Backstepping技術(shù) 神經(jīng)網(wǎng)絡(luò)控制　出處：《渤海大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：近年來,切換非線性系統(tǒng)因其復(fù)雜的屬性及其在實際工程中廣泛的應(yīng)用,使得該類系統(tǒng)一直都是控制領(lǐng)域中一個熱門的研究課題。雖然吸引了不同研究背景人員的興趣和關(guān)注,但切換非線性系統(tǒng)仍有許多難題需要研究解決。本文針對幾類切換純反饋非線性系統(tǒng),結(jié)合Backstepping技術(shù)和自適應(yīng)神經(jīng)網(wǎng)絡(luò)控制技術(shù),研究了相應(yīng)控制器的設(shè)計方法以及閉環(huán)系統(tǒng)的穩(wěn)定性和收斂性問題。主要工作如下:針對一類帶有反沖滯后的純反饋切換隨機非線性系統(tǒng),首先構(gòu)造一個放射變量避免使用中值定理來拆分系統(tǒng),并通過加入一個額外的低通濾波器處理項數(shù)爆炸問題。然后,結(jié)合自適應(yīng)Backstepping技術(shù)和神經(jīng)網(wǎng)絡(luò)技術(shù),提出自適應(yīng)神經(jīng)網(wǎng)絡(luò)控制方法,來保證閉環(huán)系統(tǒng)的穩(wěn)定性和收斂性。仿真實例驗證了控制方法的有效性。針對一類帶有時滯和量化輸入的純反饋切換非線性系統(tǒng),首先應(yīng)用函數(shù)分離技術(shù)進(jìn)行變量分離,通過構(gòu)造適當(dāng)?shù)腖yapunov-Krasoviskii泛函處理系統(tǒng)中的時滯項。然后,結(jié)合Backstepping技術(shù)、雙曲正切函數(shù)、自適應(yīng)神經(jīng)網(wǎng)絡(luò)控制技術(shù)及動態(tài)面控制技術(shù),提出自適應(yīng)神經(jīng)網(wǎng)絡(luò)控制方法,保證閉環(huán)系統(tǒng)的穩(wěn)定性和收斂性。仿真實例說明了控制法則的有效性。純反饋切換非線性系統(tǒng)的控制問題研究還處在起步階段,本文初步研究了幾類純反饋切換非線性系統(tǒng)的自適應(yīng)控制設(shè)計問題。目前,還有許多相關(guān)控制設(shè)計問題亟待解決,例如此類系統(tǒng)的輸出反饋控制、約束控制以及互聯(lián)純反饋系統(tǒng)的控制設(shè)計等。
[Abstract]:In recent years, switched nonlinear systems have been a hot research topic in the control field because of their complex properties and their wide application in practical engineering, although they have attracted the interest and attention of people from different research backgrounds. However, there are still many problems to be solved for switched nonlinear systems. In this paper, Backstepping technology and adaptive neural network control technology are combined for several classes of switched pure feedback nonlinear systems. The design method of the corresponding controller and the stability and convergence of the closed-loop system are studied. The main work is as follows: for a class of pure feedback switched stochastic nonlinear systems with recoil delay, First, a radiative variable is constructed to avoid the use of the mean value theorem to split the system, and an additional low-pass filter is added to deal with the item number explosion problem. Then, combining adaptive Backstepping technology with neural network technology, An adaptive neural network control method is proposed to ensure the stability and convergence of the closed-loop system. The effectiveness of the control method is verified by a simulation example. For a class of pure feedback switched nonlinear systems with time delay and quantization input, First, the variable separation is carried out by using the function separation technique, and the delay term in the system is processed by constructing the appropriate Lyapunov-Krasoviskii functional. Then, combining the Backstepping technique, the hyperbolic tangent function, the adaptive neural network control technology and the dynamic surface control technology, the method is introduced. An adaptive neural network control method is proposed to ensure the stability and convergence of the closed-loop system. Simulation examples show the effectiveness of the control law. The control problem of pure feedback switched nonlinear systems is still in its infancy. In this paper, the adaptive control design problems for several classes of pure feedback switched nonlinear systems are preliminarily studied. At present, there are still many related control design problems to be solved, such as the output feedback control of such systems. Constrained control and control design of interconnected pure feedback system.
【學(xué)位授予單位】：渤海大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：O231

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