多值邏輯網(wǎng)絡(luò)的輸出跟蹤牽制控制設(shè)計(jì)及應(yīng)用
發(fā)布時(shí)間:2018-07-27 18:12
【摘要】:多值邏輯網(wǎng)絡(luò)廣泛地存在于基因調(diào)控,多值邏輯電路設(shè)計(jì),網(wǎng)絡(luò)演化博弈,模糊控制,圖著色以及有限自動(dòng)機(jī)等研究領(lǐng)域.由于多值邏輯網(wǎng)絡(luò)模型結(jié)構(gòu)簡(jiǎn)單,可用于較大型系統(tǒng)的建模,對(duì)于該模型的研究引起了國(guó)內(nèi)外很多學(xué)者的濃厚興趣.作為多值邏輯網(wǎng)絡(luò)系統(tǒng)理論體系中一個(gè)非常重要的課題,多值邏輯網(wǎng)絡(luò)的控制不僅具有重要的理論意義,而且對(duì)于基因調(diào)控,電路設(shè)計(jì)以及博弈演化等實(shí)際問(wèn)題具有關(guān)鍵的指導(dǎo)意義.本文主要利用矩陣半張量積方法,研究了多值邏輯控制網(wǎng)絡(luò)的輸出跟蹤牽制控制問(wèn)題.主要包括以下六章:第一章主要介紹了多值邏輯控制網(wǎng)絡(luò)的輸出跟蹤牽制控制問(wèn)題的研究現(xiàn)狀.第二章給出了一些本文中的常用符號(hào)及預(yù)備知識(shí).第三章給出了帶牽制控制的多值邏輯控制網(wǎng)絡(luò)的代數(shù)表示及問(wèn)題描述.第四章建立了有無(wú)狀態(tài)約束條件的多值邏輯控制網(wǎng)絡(luò)輸出跟蹤牽制控制器的設(shè)計(jì)方法.第五章建立了多值邏輯控制網(wǎng)絡(luò)的魯棒輸出跟蹤牽制控制器的設(shè)計(jì)方法.第六章將所得的理論結(jié)果應(yīng)用于網(wǎng)絡(luò)演化博弈的演化行為分析.
[Abstract]:Multi-valued logic networks are widely used in the fields of gene regulation, multi-valued logic circuit design, network evolutionary game, fuzzy control, graph coloring and finite automata. Because of the simple structure of the multivalued logical network model, it can be used in the modeling of large scale systems, and the research on the model has aroused great interest of many scholars at home and abroad. As a very important subject in the theoretical system of multivalued logic network system, the control of multivalued logic network is not only of great theoretical significance, but also of gene regulation. Circuit design, game evolution and other practical problems have a key guiding significance. In this paper, the output tracking control problem of multivalued logic control network is studied by using matrix semi-tensor product method. There are six chapters as follows: the first chapter mainly introduces the research status of output tracking control in multivalued logic control networks. The second chapter gives some commonly used symbols and preparatory knowledge in this paper. In chapter 3, the algebraic representation and problem description of multivalued logical control network with containment control are given. In chapter 4, the design method of output tracking control controller for multivalued logic control networks with stateful constraints is established. In chapter 5, the design method of robust output tracking controller for multivalued logic control network is established. In chapter 6, the theoretical results are applied to the evolutionary behavior analysis of network evolutionary game.
【學(xué)位授予單位】:山東師范大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:O157.5;O231
本文編號(hào):2148724
[Abstract]:Multi-valued logic networks are widely used in the fields of gene regulation, multi-valued logic circuit design, network evolutionary game, fuzzy control, graph coloring and finite automata. Because of the simple structure of the multivalued logical network model, it can be used in the modeling of large scale systems, and the research on the model has aroused great interest of many scholars at home and abroad. As a very important subject in the theoretical system of multivalued logic network system, the control of multivalued logic network is not only of great theoretical significance, but also of gene regulation. Circuit design, game evolution and other practical problems have a key guiding significance. In this paper, the output tracking control problem of multivalued logic control network is studied by using matrix semi-tensor product method. There are six chapters as follows: the first chapter mainly introduces the research status of output tracking control in multivalued logic control networks. The second chapter gives some commonly used symbols and preparatory knowledge in this paper. In chapter 3, the algebraic representation and problem description of multivalued logical control network with containment control are given. In chapter 4, the design method of output tracking control controller for multivalued logic control networks with stateful constraints is established. In chapter 5, the design method of robust output tracking controller for multivalued logic control network is established. In chapter 6, the theoretical results are applied to the evolutionary behavior analysis of network evolutionary game.
【學(xué)位授予單位】:山東師范大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:O157.5;O231
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