Distributed learning consensus control based on neural networks for heterogeneous nonlinear multiagent systems

This paper considers a novel distributed iterative learning consensus control algorithm based on neural networks for the control of heterogeneous nonlinear multiagent systems. The system's unknown nonlinear function is approximated by suitable neural networks; the approximation error is countered by a robust term in the control. Two types of control algorithms, both of which utilize distributed learning laws, are provided to achieve consensus. In the provided control algorithms, the desired reference is considered to be an unknown factor and then estimated using the associated learning laws. The consensus convergence is proven by the composite energy function method. A numerical simulation is ultimately presented to demonstrate the efficacy of the proposed control schemes.     

Social dominance mediates the association of testosterone and neurobehavioral disinhibition with risk for substance use disorder.

This investigation determined the influence of testosterone and neurobehavioral disinhibition (ND) on risk for substance use disorder (SUD). Testosterone level during puberty was hypothesized to promote social dominance associated with norm-violating behavior that, in turn, predisposes individuals to use of illicit drugs and, subsequently, SUD. Using a prospective paradigm, the authors recruited 179 boys (mean age=11.62 years, SD=0.88) and followed up when participants were ages 12-14, 16, 19, and 22. Results indicated that social dominance/norm-violating behavior (SD/NVB) at age 16 mediated the association between testosterone level (ages 12-14) and SUD (age 22). In addition, SD/NVB mediated the association between ND and SUD. These findings suggest that development of SUD is influenced by androgen-dependent and neurobehavioral processes via a social motivational style characterized by SD/NVB. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Frequency domain solution to delay-type Nehari problem

This paper generalizes the frequency-domain results on the delay-type Nehari problem in the stable case to the unstable case. The solvability condition of the delay-type Nehari problem is formulated in terms of the nonsingularity of three matrices. The optimal value γ_opt is the maximal γ∈(0,∞) such that one of the three matrices becomes singular. All sub-optimal compensators are parameterized in a transparent structure incorporating a modified Smith predictor.     

实施取水定额管理的几个关键问题探讨

通过对全国23个省级单位出台的用水定额标准进行分析，指出目前定额管理存在6个主要问题：一是概念模糊，二是制定方法不统一、不规范，三是定额标准体系不完善，四是可操作性较差，五是计量系统不完善，六是缺乏取水定额管理信息化平台。提出应采用“取水定额”这一表述，并提出了取水定额的体系，包括基础计量体系、定额制定体系、信息链体系、定期更新体系4部分。明确了取水定额管理体系建设主要内容应包括：法律法规体系、定额制定体系、水价管理体系、信息通道体系。     

试论企业人格化管理的力量因素

论述了影响企业人格化管理的力量因素，并指出制度纪律是其保障因素，道德规范是其自律因素，理想目标是其进取因素。     

大型空间柔性结构基于H2范数的模型降阶

本文给出一种简单易算的大型空间柔性结构的模态缩减法。分析了小阻尼条件下全系统及各阶模态子系统传递函数H2范数的特点，进而定义了系统模态重要度序列，据此序列给出了在H2范数度量下的最优降价系统。仿真算例表明，基于H2范数的模态缩减法明显优于普通的模态截断方法。     

提高钢水质量减少铸件气孔

通过规范冶炼的操作，加强冶炼过程控制，细化分解技术指标，制定奖励方案，提高了钢水质量，解决了铰链梁铸件的气孔问题。     

一类线性时变群体系统稳定性的代数判据

针对在判断群体系统的稳定性时没有一般的方法和程序构造Lyapunov函数这个难点,利用矩阵范数,孤立子系统的矩阵指数函数与比较原理提出了一类线性时变群体系统平凡解一致稳定,所有解一致有界的充分条件。方便此类群体系统的稳定性分析,为研究其他群体系统稳定性的代数判据提供了理论基础。可以在此基础上,进一步研究一类非线性群体系统稳定性的代数判据。同时,还给出了具体算例,说明所提方法的正确性。此代数判据应用简便,灵活,适于实际应用。     

学术自由与学术规范

学术自由是学术形成与发展的必要条件，已有的学术规范又为新的学术提供了对象与基础。二者对学术具有同样重要的意义。学术是自由探索与遵循规范的矛盾与辩证统一。     

广义Mamdani模糊系统依K-积分模的泛逼近及其实现过程

首先,通过引入拟减法算子给出K-积分模定义,并针对广义Mamdani模糊系统实施等距剖分其输入空间. 其次,应用分片线性函数（Piecewise linear function,PLF）的性质构造性地证明了广义Mamdani模糊系统在K-积分模意义下具有泛逼近性,从而将该模糊系统对连续函数空间的逼近能力扩展到一类可积函数类空间上. 最后,通过模拟实例给出该广义Mamdani模糊系统对给定可积函数的泛逼近及实现过程.