基于自适应未知输入观测器的多故障快速重构

针对一类非线性函数中耦合执行器故障的非线性动态系统, 提出一种基于自适应未知输入观测器的多故障快速重构方法, 通过引入比例项提高故障重构的快速性。首先, 将执行器故障进行解耦处理并构建包含传感器故障的增广系统。然后, 综合H_∞性能指标给出状态估计误差的稳定性证明。接着, 将观测器增益矩阵的求解转化为受线线矩阵不等式约束的非线性优化问题, 并实现执行器故障和传感器故障的多故障重构。最后, 结合单关节柔性机器人算例仿真验证了所提方法的有效性。     

碳化物增强钢基复合材料的奥氏体化行为

研究了碳化钨（ＷＣ）增强钢基复合材料在９８０～１２４０℃温度范围的高温奥氏体化行为及相应的淬火硬化效应．发现此材料的奥氏体化温度范围宽,在９８０～１１００℃加热淬火均能得到细小的组织结构,而且具有显著的淬火硬化效果（ＨＲＣ６８）．并且测量及探讨了不同状态下大块硬质相、ＷＣ聚集区及基体显微硬度（ＨＶ０．０５）的变化以及与宏观洛氏硬度之间的关系．     

The Generalized Mixed Least Square Methods for the Estimation of Weights in AHP

1IntroductionTheanalytichierarchyprocess(AHP)hasfoundwidespreadapplicationindecisionmakillgproblemsinvolvingmultiplecriteriainsystemsofmanylevels,andforPriority-modelingincomplexsystems.Preferellcesforasetofobjects(proje(its,prodllcts,etc.)area'~ryoftollexpressedintheformofpairwise(}olllparisolls.Thisisparticularlytrueinmarketresear(}11situationwhereconsumerpreferencesforasetofproductsaretobecaptured.Thepl'oblemistoextractfromthepairwisedataasetofratingsorweightsfortilenobjects.Inthismannera…     

Fixed-Orderl1-Control for Systems with Time-Delay

1. INTRODUCTIONPhysical plaaes are inevitably affected by exogenous disturbance, hence rejecting disturbanceis important. Ffor example, HOO-control systems can reject the LZ disturbance. But in factthere are maily species of disturbances: some are LZ-attenuation; some are stochastic; andsome are Loo(loo) [6]. If the exogenous disturbance is modeled as the energy-bounded signal, and the performance is the output energyt that is Hoo problem. If the performance isoutput energy, that is p…     

Coordination Model Research Based on Command Decision Joint Intension

Command Decision Simulation （CDS） is not only an important and difficult issue in the field of simulation, but also a technique issue to be tackled in the course of collective Modeling and Simulation in Joint Operations Experiment Center. CDS can give support to all kinds of simulation. Using computer to realize the Blue side＇s command deci- sion automatic execution in the operation training simulation system can improve training effect. Using computer to realize the lower level command unit＇s automatic command deci- sion can help to reduce the number of controllers and release them from heavy work. It can also enlarge simulation scale and increase the freedom of the simulation entity especially the command entity, thus enhance the authenticity and credibility of the simulation. Ac- cording to the command decision structure and the Joint Intention Theory, the thesis puts forward the method of making use of Coordination Matrix （CM） to realizing cooperation among the entities in CDS and constructs the calculation sketch of Task Execution, Task Monitoring and Task Replanning. At the same time, the thesis brings forward the CDS structure vision based on Partial Global Planning（PGP）. As CM is an indispensable part of combat simulation, the theory and the method of CDS will become an important part for the theory of Combat Simulation.     

ON THE CONSTRUCTION OF ALGEBRAIC-GEOMETRIC CODES

1,Illtroduction'SincetheearlypapersbyG0ppa[1-31,algebralc-ge0metriccodeshavebeeninthespotlight0fcodingthe0reticresearchf0rab0uttwodecades.NumerousexcitingresultshavebeenachievedusingGoppa'sconstructi0noflinearcodesfromalgebralccurvesoverfinitefields,bothbyalgebraicge0metorsandcodingtheorists.Becauseofthedifficultyofthesubject,severalexplanatorypaPersandtextbookshaveappeared,seeforinstance[4-8].Inthispaperwepresentaquitedtherentpointofviewconcerningalgebraic-geometriccodes.Itiswellknownthataq…     

对一种改进层次分析法误导的理论分析

揭示了基于最优传递矩而建立的改进层次分析法产生误导的原因,从理论上否定了该法的一些错误论断。     

H_∞-based fault detection for nonlinear networked systems with random packet dropout and probabilistic interval delay

The fault detection problem for the nonlinear networked control system(NCS) with packet dropout and delay is investigated.A nonlinear stochastic system model is proposed to account for the NCS with random packet dropout and networkinduced non-uniformly distributed time-varying delay in both from sensor to controller(S/C) and from controller to actuator(C/A).Based on the obtained NCS model,employing an observer-based fault detection filter as the residual generator,the addressed fault detection problem is converted into an auxiliary nonlinear H∞ control problem.Then,with the help of Lyapunov functional approach,a sufficient condition for the desired fault detection filter is constructed in terms of certain linear matrix inequalities,which depend on not only the delay interval but also the delay interval occurrence rate and successful packet communication rate.Especially,a trade-off phenomenon between the maximum allowable delay bound and successful data packet transmission rate is found,which is typically resulted from the limited bandwidth of communication networks.The effectiveness of the proposed method is demonstrated by a simulation example.     

Ho∞-based fault detection for nonlinear networked systems with random packet dropout and probabilistic interval delay

The fault detection problem for the nonlinear networked control system (NCS) with packet dropout and delay is investigated.A nonlinear stochastic system model is proposed to account for the NCS with random packet dropout and networkinduced non-uniformly distributed time-varying delay in both from sensor to controller (S/C) and from controller to actuator (C/A).Based on the obtained NCS model,employing an observer-based fault detection filter as the residual generator,the addressed fault detection problem is converted into an auxiliary nonlinear H∞ control problem.Then,with the help of Lyapunov functional approach,a sufficient condition for the desired fault detection filter is constructed in terms of certain linear matrix inequalities,which depend on not only the delay interval but also the delay interval occurrence rate and successful packet communication rate.Especially,a trade-off phenomenon between the maximum allowable delay bound and successful data packet transmission rate is found,which is typically resulted from the limited bandwidth of communication networks.The effectiveness of the proposed method is demonstrated by a simulation example.     

Two Methods for Deriving Members′Weights in Group Decision Making

1　IntroductionThe Analytic Hierarchy Process(AHP) ,introduced by Saaty[7] ,is one of the popular andpowerful technique for decision making,and has also been applied to group decisionproblems(Hannan[2 ] ,Khorramshahgol and Moustakis[5] ,Islei and Lockett[3] ) .TheWeighted Arithmetic Mean Method (WAMM) and Weighted Geometric Mean Method(WGMM) are the mostcommon group preference aggregation methods in AHP.In orderto use the WAMM and WGMM,one has to find the weights to be assigned…