INTELLIGENT SECURITY SYSTEMS ENGINEERING FOR MODELING FIRE CRITICAL INCIDENTS： TOWARDS SUSTAINABLE SECURITY

An intelligent security systems engineering approach is used to analyze fire and explosive critical incidents, a growing concern in urban communities. A feed-forward back-propagation neural network models the damages arising from these critical incidents. The overall goal is to promote fire safety and sustainable security. The intelligent security systems engineering prediction model uses a fully connected multilayer neural network and considers a number of factors related to the fire or explosive incident including the type of property affected, the time of day, and the ignition source. The network was trained on a large number of critical incident records reported in Toronto, Canada between 2000 and 2006. Our intelligent security systems engineering approach can help emergency responders by improving critical incident analysis, sustainable security, and fire risk management.     

Robust H2 control for uncertain sampled-data systems

A new approach is proposed for robust H2 problem of uncertain sampled-data systems. Through introducing a free variable, a new Lyapunov asymptotical stability criterion with less conservativeness is established. Based on this criterion, some sufficient conditions on two classes of robust H2 problems for uncertain sampled-data control systems are presented through a set of coupled linear matrix inequalities, Finally, the less conservatism and potential of the developed results are illustrated via a numerical example.     

基于核岭回归的非线性系统辨识及其应用

利用满足Mercer条件的核函数改进线性岭回归算法,提出一种新的直接优化的非线性核岭回归算法.与SVM算法相比,该方法的特点是通过对二次损失函数的优化计算,简化了不确定参数的数量,而且由于采用直接优化计算,能有效减少建模的时间,提高计算效率.仿真实验结果和对航煤干点的软测量应用结果都验证了该算法的有效性.     

复杂系统多主体仿真方法论

多主体仿真是研究复杂系统的重要方法,但缺乏规范的方法论.总结了多主体仿真的基本假设和技术特点,指出其本质特征是采用多主体视角建立系统的概念模型.根据多主体仿真的目的和特点提出了一种多主体仿真方法论,讨论了在概念模型建立、仿真模型建立、模型校核与验证等环节的特点.最后指出多主体仿真在适用性判据、建立微观-宏观联系、模型有效性验证方面尚存在的问题.     

Energy flows in complex ecological systems: a review

Energy flow drives the complex systems to evolve. The allometric scaling as the universal energy flow pattern has been found in different scales of ecological systems. It reflects the general power law relationship between flow and store. The underlying mechanisms of energy flow patterns are explained as the branching transportation networks which can be regarded as the result of systematic optimization of a biological target under constraints. Energy flows in the ecological system may be modelled by the food web model and population dynamics on the network. This paper reviews the latest progress on the energy flow patterns, explanatory models for the allometric scaling and modelling approach of flow and network evolution dynamics in ecology. Furthermore, the possibility of generalizing these flow patterns, modelling approaches to other complex systems is discussed. This research is supported by Guozhi Xu Post Doctoral Research Foundation and the National Natural Science Foundation of China under Grant No. 60574068.     

汽车电子ABS控制参数混合逻辑动态自标定研究

采用软硬件协同设计方法,提出基于汽车电子子系统模块化统一建模的动态仿真测试方法.参照汽车电子电控单元参数的匹配方法,提出了基于CCP协议在线调整ABS参数的匹配方法,并从理论上研究了基于MLD(Mixed Logical Dynamical)系统的ABS控制参数自动标定算法.并通过求解MIQP问题为ECU-ABS控制解出一个优化的控制序列.以ABS开发为例进行了说明和测试,对监控标定系统进行了试验,建立了完整的电控参数标定仿真、实验流程.提出的方法对其它汽车电子嵌入式实时软件开发,缩短调试、路试周期具有重要的意义.     

系统、仿真系统及其理论

主要从基本理论、基本概念、基本方法、演变规律的角度,回顾、分析论述了系统、系统理论、原始系统、仿真系统、相似理论与系统仿真组合理论的基本内容、相互关联和发展概况,从而引出相应结论.     

不确定T-S模糊广义系统基于观测器的无源控制

针对一类范数有界不确定性T-S模糊广义系统,研究了其在满足不确定性的基于观测器的无源控制器的设计问题.在状态不可测的情况下给出了使得闭环系统广义二次稳定且无源的基于观测器的控制器存在的充分条件和设计方法.通过求解若干线性矩阵不等式,获得系统的观测增益与控制增益.最后通过数值仿真例子,说明所提出的设计方法可行、有效.     

不确定网络化控制系统的保性能鲁棒容错控制

研究了一类含有不确定性的网络化控制系统的完整性和保性能容错控制问题.基于Lyapunov稳定性理论和LMI方法,采用状态反馈控制策略,针对含有不确定性的网络化控制系统当执行器发生失效故障时分别推证出了系统仍渐近稳定和能够满足一定控制指标的充分条件,进而通过将矩阵不等式转化为线性矩阵不等式得到了求取两种容错控制器的方法.最后用仿真算例验证了该方法的有效性和可行性.     

信息物理融合系统中恶意软件传播与分岔控制策略

针对恶意软件在信息物理融合系统中传播机理难以描述的问题,利用非线性动力学理论构建其传播动力学模型,并基于稳定性理论和Hopf分岔定理对该模型的复杂动力学行为进行分析.为了控制恶意软件传播所引发的Hopf分岔,根据分岔控制理论设计了一类结合参数调节法与状态反馈法的混合分岔控制策略,并深入研究控制参数对Hopf分岔点位置及极限环幅值的影响.数值仿真结果表明所设计的混合分岔控制策略不仅能够提前或推迟Hopf分岔点,而且可以改变极限环幅值大小,使信息物理融合系统产生预期的动力学行为,实现控制目的,从而有效降低恶意软件的危害.