Indirect adaptive fuzzy control for a class of nonlinear discrete-time systems

An indirect adaptive fuzzy control scheme is developed for a class of nonlinear discrete-time systems. In this method, two fuzzy logic systems are used to approximate the unknown functions, and the parameters of membership functions in fuzzy logic systems are adjusted according to adaptive laws for the purpose of controlling the plant to track a reference trajectory. It is proved that the scheme can not only guarantee the boundedness of the input and output of the closed-loop system, but also make the tracking error converge to a small neighborhood of the origin. Simulation results indicate the effectiveness of this scheme.     

ACCURACY ANALYSIS FOR QUASI-CAREY ELEMENT*

In this paper, a new triangular element （Quasi-Carey element） is constructed by the idea of Specht element. It is shown that this Quasi-Carey element possesses a very special property, i.e., the consistency error is of order O（h^2）, one order higher than its interpolation error when the exact solution belongs to H^3（Ω）. However, the interpolation error and consistency error of Carey element are of order O（h）. It seems that the above special property has never been seen for other triangular elements for the second order problems.     

A DEA-TOPSIS method for multiple criteria decision analysis in emergency management

A hybrid approach of DEA (data envelopment analysis) and TOPSIS (technique for order performance (preference) by similarity to ideal solution) is proposed for multiple criteria decision analysis in emergency management. Two DEA-based optimization models are constructed to facilitate identifying parameter information regarding criterion weights and quantifying qualitative criteria in TOPSIS. An emergency management case study utilizing data from the Emergency Management Australia (EMA) Disasters Database is provided to demonstrate the feasibility of the proposed analysis procedure.     

A low order nonconforming anisotropic finite element approximation to parabolic problem

A low order nonconforming finite element is applied to the parabolic problem with anisotropic meshes. Both the semidiscrete and fully discrete forms are studied. Some superclose properties and superconvergence are obtained through some novel approaches and techniques. This research was supported by the National Natural Science Foundation of China under Grant No. 10671184.     

Security transmission and recognition of F-knowledge

The concept of F-knowledge is presented by employing S-rough sets. By engrafting and penetrating between the F-knowledge generated by S-rough sets and the RSA algorithm, the security transmission and recognition of multi-agent F-knowledge are proposed, which includes the security transmission of multi-agent F-knowledge with positive direction secret key and the security transmission of multi-agent F-knowledge with reverse direction secret key. Finally, the recognition criterion and the applications of F-knowledge are presented. The security of F-knowledge is a new application research direction of S-rough sets in information systems.     

冲突避免的水声网络拓扑发现协议

当水声网络的所有节点完成在目标区域的部署后,每个节点除了自己的节点ID已知外,对新网络的信息一无所知,而这些信息是网络顺利运行的必要前提。因此,一个能够完成网络中所有节点和链路发现的网络拓扑发现协议是非常必要和重要的。水声拓扑发现协议完成的效率,往往依赖于信道接入策略的选择,但它不能完全使用已有的水声多路访问控制(multiple access control, MAC)协议,因为在网络建立的初始阶段拓扑未知,已有传统水声MAC协议不能完成拓扑发现,所以需要根据这一阶段的特殊状态来设计拓扑发现协议。基于此问题,提出了一种高效的冲突避免的水声网络拓扑发现(简称为CFVE)协议,该协议利用网络中节点ID的唯一性,在其特定时隙接入信道,节点无冲突地发现控制分组的交换,最终实现网络中所有链路和节点的发现。仿真结果表明, CFVE协议可以以较低的发现时延和能耗完成全网拓扑的发现,是一种适合于多跳水声网络的拓扑发现协议。     

创新生态战略与创新效率关系：基于创新生态网络视角

基于创新生态系统理论,通过引入创新生态环境和创新生态位,构建一个有调节的中介效应模型,并基于长三角制造业企业调研数据,采用Bootstrap方法进行检验,探究创新生态战略通过创新生态网络对企业创新效率的作用机理。研究结果表明：创新生态战略对企业创新效率具有正向影响;创新生态网络在创新生态战略与企业创新效率关系中发挥中介作用;并且创新生态环境和创新生态位调节该中介效应。研究结果从创新生态网络视角构建了创新生态战略向企业创新效率转化的中间机制,丰富了创新生态系统理论研究。     

电网故障下双馈风力发电机控制改进与仿真

随着风电装机规模的不断增加,作为未来能源互联网中重要的一环,风电机组应对电网故障的能力越加显得重要。针对双馈风力发电机组在电网故障下的暂态特性,提出了一种基于电网故障类型区分、控制器设计和辅助设备穿越的综合控制策略。相比于传统的控制方法,克服了控制误差大和响应滞后的问题,真正实现了系统的精细化控制。基于MATLAB和VC++联合建模,利用MEX技术搭建了电网故障下的1.5 MW双馈风力发电系统模型,仿真结果验证了所提出的综合控制策略在电网故障下提高双馈风力发电机控制的有效性。     

双参数优先级递推式变采样周期调度算法

针对资源受限的网络控制系统,提出了一种基于双参数优先级的递推式变采样周期动态调度算法。计算控制回路的网络需求度和网络紧急度双参数,并以控制回路误差的绝对值建立二次平方根映射函数来确定双参数权重,实现对传感器优先级的调度。同时,综合分析控制回路性能递推动态调节各控制回路的采样周期,在保证控制系统的稳定的前提下完成调度调节。仿真表明该调度算法提高了网络控制系统的控制质量。     

基于多层次MRF的多分辨率图像融合算法

图像数据融合的目的是恢复出分布在不同图像中的有用信息。在多层次MRF模型的基础上提出了一种多分辨率图像融合算法。该算法将定义在多层次图结构上的非线性因果Markov模型与贝叶斯SMAP(sequenti almaximumaposteriori)准则结合起来 ,弥补了MAP(maximumaposteriori)准则在多层次图结构上计算不合理的缺陷。实验部分中 ,对两种算法用于被高斯白噪声污染的合成图像的恢复结果进行了比较 ,并将该算法用于实际的多分辨率航空图像。实验结果表明了该算法的优越性。