Reservation-based feedback scheduling of MPC tasks

A reservation-based feedback scheduling (FS-CBS) of a set of model predictive control (MPC) tasks is presented to optimize the global control performance subject to limited computational resource. Implemented as anytime algorithm, MPC task allows computation time to be traded for control performance. Each MPC task is assigned with a constant bandwidth server (CBS), whose reserved processor time is adjusted dynamically. The FS-CBS is shown robust against the varying of execution time of MPC tasks at runtime. Simulation results illustrate its effectiveness.     

Conflict analysis approaches for investigating attitudes and misperceptions in the War of 1812

Formal systems engineering approaches to modeling misperceptions and attitudes are employed within the framework of the graph model for conflict resolution to systematically study the War of 1812 between the United States of America and Great Britain in order to provide enhanced insights into the causes of the war. More specifically, relational definitions for preferences, movements and stability concepts are defined for describing the attitudes and associated behavior of decision makers involved in a conflict. To capture misperceptions of decision makers in the War of 1812, attitudes are studied within the structure of a hypergame. Combining attitudes and misperceptions within the paradigm of the graph model furnishes the flexible analytical tool which demonstrates that misunderstanding of attitudes by Great Britain and the United States may have contributed to the outbreak of this nasty war.     

A multiple intelligent agent system for credit risk prediction via an optimization of localized generalization error with diversity

Company bankruptcies cost billions of dollars in losses to banks each year. Thus credit risk prediction is a critical part of a bank＇s loan approval decision process. Traditional financial models for credit risk prediction are no longer adequate for describing today＇s complex relationship between the financial health and potential bankruptcy of a company. In this work, a multiple classifier system （embedded in a multiple intelligent agent system） is proposed to predict the financial health of a company. In our model, each individual agent （classifier） makes a prediction on the likelihood of credit risk based on only partial information of the company. Each of the agents is an expert, but has limited knowledge （represented by features） about the company. The decisions of all agents are combined together to form a final credit risk prediction. Experiments show that our model out-performs other existing methods using the benchmarking Compustat American Corporations dataset.     

PEAK COVARIANCE STABILITY OF A RANDOM RICCATI EQUATION ARISING FROM KALMAN FILTERING WITH OBSERVATION LOSSES

We consider the stability of a random Riccati equation with a Markovian binary jump coefficient. More specifically, we are concerned with the boundedness of the solution of a random Riccati difference equation arising from Kalman filtering with measurement losses. A sufficient condition for the peak covariance stability is obtained which has a simpler form and is shown to be less conservative in some cases than a very recent result in existing literature. Furthermore, we show that a known sufficient condition is also necessary when the observability index equals one.     

频谱分析方法在仿真可信性研究中的应用

应用频谱分析方法进行仿真可信性评估。分析了傅立叶谱估计、最大熵谱估计的统计特性,并分别构造相容性检验。引入瞬时谱估计分析非平稳随机信号,以及应用于某型近炸引信数字仿真模型验证的一个实例。     

一种改进的基于小波变换图像边缘检测算法

本文提出了一种改进的图像边缘检测算法。它基于小波变换的方法,可以使检测处理中图像边缘相互影响所造成的边缘混叠现象减少到很小。实验结果证实了该算法的可行性。     

多态关联系统典型逻辑结构

多态关联系统逻辑建模是多态关联系统可靠性理论的基本研究内容。由于逻辑建模中的ＮＰ问题,给出多态关联系统通用的逻辑结构是不现实的。本文借鉴多值逻辑中有关函数构造的理论,定义了三类典型的多态关联系统逻辑结构。     

Group consensus for multiple networked Euler-Lagrange systems with parametric uncertainties

In this paper,a group consensus problem is investigated for multiple networked agents with parametric uncertainties where all the agents are governed by the Euler-Lagrange system with uncertain parameters.In the group consensus problem,the agents asymptotically reach several different states rather than one consistent state.A novel group consensus protocol and a time-varying estimator of the uncertain parameters are proposed for each agent in order to solve the couple-group consensus problem.It is shown that the group consensus is reachable even when the system contains the uncertain parameters.Furthermore,the multi-group consensus is discussed as an extension of the couple-group consensus,and then the group consensus with switching topology is considered.Simulation results are finally provided to validate the effectiveness of the theoretical analysis.     

嫦娥二号平动点间转移轨道方案研究

针对我国嫦娥二号卫星拓展任务需求,研究了卫星由日地L2点向L1点的转移轨道方案。基于卫星真实星历,考虑各种摄动因素,借助不变流形理论和微分修正方法,设计了嫦娥二号在日地平动点L1和L2之间的转移轨道,提出了便于理解和工程应用的平动点间直接转移方式,研究了真实力模型下平动点Lissajous轨道的不变流形转移方式,对比了两种转移方式的出发速度增量、转移时间与出发时刻的关系。研究表明,嫦娥二号可以通过直接转移方式或者借助不变流形进入日地L1点Lissajous轨道,直接转移方式下有42天出发机会,基于不变流形方式下最短转移时间为210天,对应速度增量5.776 m/s,最小速度增量可达0.024 m/s。研究结果可直接应用于我国嫦娥二号拓展任务的轨道设计与控制,并为我国后续平动点等深空探测任务提供有益借鉴.