图的符号控制划分数的Nordhaus-Gaddum型结果

设G=(V,E)是一个简单图,在图G的所有符号(全)控制族中,基数最大的符号(全)控制族包含的符号(全)控制函数的数目称为是图G的符号(全)控制划分数.首先给出图的符号控制划分数的Nordhaus-Gaddum型结果,接下来,又给出了图的符号全控制划分数的Nordhaus-Gaddum型结果.

图的负全控制划分数

定义了图的负全控制划分数,得到了负全控制划分数的存在性和其与边数、最小度的关系,并给出其在部分完全图上的准确值和在一般图上的一个上界。

笛卡尔乘积和直积图的全{k}控制划分数（英文）

给定正整数k,不含孤立点的图G的全{k}控制函数(T{k}DF)是从顶点集V(G)到{0,1,2,…,k}的映射f使得对任意的v∈V(G),与v相邻的点在f下的赋值之和至少为k.若元素两两不同的全{k}控制函数集合{f_1,f_2,…,f_d}满足d∑i=1f_i(v)≤k对任意v∈V(G),则称该集合为G的全{k}控制族(T{k}D族).含有函数最多的G的全{k}控制族的函数数量成为全{k}控制划分数,记为d_t^({k})(G).2013年,Aram等提出了以下问题:是否当4nmk时d_t^({k})(C_m□C_n)=3,当4nmk时d_t^({k})(C_m□C_n)=4.这里证明了当4nmk且k≥2或4nmk且2nk时d{k}t(C_m□C_n)=3.该结论部分回答了上述问题.更进一步,确定了路和圈、路和路、圈和圈的全{k}控制划分数.

关于图的控制集划分

通过分类归纳的方法,对图的控制集划分问题进行了研究,给出了控制划分数d(G)和全控制划分数d t(G)的上界,并确定了d(P m×P n)的所有确切值和d(C m×P n)部分的确切值.

关于图的连通控制数的一个猜想

设γc（G）和dc（G）分别表示连通图G的连通控制数和连通控制划分数．本文证实了孙良提出的一个猜想：

Outer Synchronization of Complex Networks by Impulse

This paper investigates outer synchronization of complex networks,especially,outer complete synchronizationand outer anti-synchronization between the driving network and the response network.Employing the impulsivecontrol method which is uncontinuous,simple,efficient,low-cost and easy to implement in practical applications,weobtain some sufficient conditions of outer complete synchronization and outer anti-synchronization between two complexnetworks.Numerical simulations demonstrate the effectiveness of the proposed impulsive control scheme.

Statistical Analysis and Energy Planning of Electric Power Supply Systems with Intelligent Control

The study presents possibilities for reconstruction of electric power supply systems in Bulgarian Black Sea resorts and possibilities to use statistical methods in energy planning. The paper shows the use of classic statistical methods in combination with advanced digital measurement systems in order to obtain the correlation dependencies, nature of energy consumption and opportunities for energy forecasting. The main purpose of the study is to obtain statistical dependencies of the nature of power consumption and correlations between electricity consumption and ambient temperature in order to improve the accuracy of energy planning. The analysis includes application of energy management systems for proper energy planning, improving economical efficiency and reducing power and energy losses.