Algorithm application of neural networks.Ⅲ Implementation of neuro-computers. The main contribution of the dissertation can be summarized as follows: 1 Hopf bifurcation of three kind of neural networks are discussed in detail, including type of discrete time delay, type of time delay with weak kernel and strong kernel as well as the proof of existence of bifurcation. Other problems such as asymptotic stability of bifurcation periodic solution, algorithm of determining the bifurcation direction, asymptotic stability and style of periodic solution are also studied. The average time delay is chosen as the bifurcation parameter, phenomena pertinent to system states of the continuous time delay network with strong kernel evolving from stable to oscillating, then back to stable again are observed.

論文的主要創(chuàng)新之處可以歸納如下： 1）針對目前國內(nèi)外對神經(jīng)網(wǎng)絡的分岔研究較少的情況欧美一区、二区，論文中詳細討論了帶離散時延神經(jīng)網(wǎng)絡、帶弱核的連續(xù)時延神經(jīng)網(wǎng)絡日韩系列在线精品视频观看网站、帶連續(xù)分布時延且具有強核的神經(jīng)網(wǎng)絡的Hopf分岔現(xiàn)象国产精品婷婷久久久久久，從理論上證明了Hopf分岔的存在性，并研究了分岔周期解的漸近穩(wěn)定性午夜5060国产一级A片，得到了確定周期解的漸近穩(wěn)定性日韩精品美女网页在线观看免费、分岔方向、周期解的漸近形式的算法日韩福利看片不卡在线观看免费视频；用平均時延作為分岔參數(shù)91久久五月，發(fā)現(xiàn)帶強核的連續(xù)時延神經(jīng)網(wǎng)絡中存在著系統(tǒng)的狀態(tài)由穩(wěn)定變化到振蕩現(xiàn)象欧美xxxx.com，當繼續(xù)增加平均時延參數(shù)時亚洲h视频免费观看，又從振蕩變?yōu)榉€(wěn)定這一特殊的動力學現(xiàn)象。

The main works are to extend the related conclusions of continuous time systems to discrete time systems and the determination of state reachable set when bounded control input set is used. The properties of system's incremental gain are studied next.

文中第一步先討論了應用耗散系統(tǒng)基本理論來界定系統(tǒng)誘導范數(shù)的方法：給出了確定有效系統(tǒng)耗散函數(shù)的方法：主要工作體現(xiàn)在將連續(xù)系統(tǒng)的相關結(jié)論推廣到了離散系統(tǒng)：以及有界控制輸入時系統(tǒng)狀態(tài)能達集的界定99re99精品精品免费。

The number of being serviced Buffer selected as discrete index, the work number of Buffer as continuous state, an algebra-differential equation of the switched arrival system was naturally developed.

采用被服務Buffer編號為離散標識国产美女一级性大黄片，Buffer中待處理任務數(shù)為連續(xù)狀態(tài)，建立了系統(tǒng)的代數(shù)微分方程模型A片免费看小视频。

About one third of the book focuses on the existence and properties of the flow on the global attractor for a discrete or continuous dynamical system.

關于一本書的第三個重點是存在和關于離散或連續(xù)動力系統(tǒng)全局吸引流動性久久免费无码Av级毛片。

By using the theories and methods of impulsive,discrete and continuous dynamical system,arithmetic operators,optimiza-tion and numerical simulation,we study locally and globally asymptotieal stability of the boundary periodic solutions,and the permanence of the these systems.

以脈沖動力系統(tǒng)理論為基礎，同時結(jié)合離散動力系統(tǒng)日本黄页网站大全、連續(xù)動力系統(tǒng)欧美综合性爱视频、算子理論、優(yōu)化理論等相關的理論和方法碰人人么，在已有的研究成果的基礎上黑人与人妻无码中文字幕，研究這些模型的邊界周期解的局部和全局漸進穩(wěn)定性、系統(tǒng)的持續(xù)生存疯狂婬荡乱婬丝袜、周期解的存在性與唯一性以及周期解的軌道穩(wěn)定性等等入室迷奷系列视频国产。

ABSTRACT Hybrid systems contain two distinct types of systems, continuous variable dynamic system and discrete event dynamic system , that interact with each other.

混合系統(tǒng)是由連續(xù)變量動態(tài)系統(tǒng)和離散事件動態(tài)系統(tǒng)相互混合、相互作用而形成的統(tǒng)一的動態(tài)系統(tǒng)性爱视频国产免费。

The results of simulations on a tank model, a discrete and a continuous two-order system, and a high order system demonstrate the feasibility and effectiveness of ITS and TS_SQP.

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The continuous dynamic system and discrete event-driven system contact with each other and affect each other.

混雜系統(tǒng)是由連續(xù)變量動態(tài)系統(tǒng)與離散事件動態(tài)系統(tǒng)相互聯(lián)系羞羞AV漫画在线漫画网免费福利、相互作用組成。

To disclose the complicate mechanism of power system dynamic behaviors and to research the hybrid dynamic process of interaction between its continuous dynamic behaviors and discrete dynamic behaviors, it is necessary to build simulation software for hybrid power system.

為了研究電力系統(tǒng)的復雜動態(tài)行為黄色工厂-这里都是精品，揭示電力系統(tǒng)連續(xù)動態(tài)與離散事件動態(tài)相互作用97资源共享夫妻福利视频、相互影響的混雜動態(tài)過程日韩大片在线观看免费播放，創(chuàng)建電力系統(tǒng)的混雜動態(tài)仿真平臺是十分必要的。

At first, this paper surveys nonlinear control and the applications of neural networks in control respectively. Then it studies definitions, mathematical descriptions and conditions of invertibility for nonlinear systems, which are used to analyze the feasibility of inverse system control method. Conclusions about the feasibility of inverse control and the realizability of αth-order inverse systems in engineering are achieved. Furthermore, this paper discusses the feasibility, structure and identification of neural network αth-order inverse system for general single-input single-output continuous or discrete nonlinear systems and various composite control methods based on the αth-order inverse. At last, as a part work of an actual project, this paper focuses on the design of neural network αth-order inverse control method for thyristor controlled series compensation in power systems and its effect in improving the stability of power systems.

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