Some properties of the alternating separation (AS), alternating projection (AP) and ASAP algorithm

1IntroductionTheproblemofestimatingtheparametersofmultiplesinusoidsinnoisehasre-ceivedconsiderableattentioninthepastthirtyyears,andalotofalgorithmshavebeenestablishedtosolvetheproblem.Amongallofthealgorithms,themaximumlikelihood(ML)estimatorisaprominentone[1],andseveralalgorithms,suchasANP[2]andIMP[3,4]arerelatedtoML.ThedrawbackoftheMLestimatorisitshighcomputationalcomplexity,sothealternatingprojection(AP)algorithm[5]wasdevelopedtomakeitsrealtimerealizationpossible.Butthefundamentaldefic…     

软件考试复习指导--推荐书目和网站

1系统分析员参考书目1)软件工程[1]王春森主编.系统设计师(高级程序员)教程(第四章).清华大学出版社,2001.[2]郑人杰主编.软件工程(高级).清华大学出版社,1999. 2)综合知识[1]罗晓沛.计算机综合应用知识(数学、管理等).清华大学出版社,2001. 3)计算机网络[1]胡道元主编.计算机网络(高级)[Internet,安全等].清华大学出版社,1999. 4)系统分析[1]罗晓沛,侯炳辉主编.系统分析员教程.清华大学出版社,2003.[2]J.L.Whitten等著.系统分析与设计方法[第五版].高等教育出[3]J.W.Satzinger等著.系统分析与设计.机械工业出版社,2002.2系统分…     

Robust strictly positive real synthesis for polynomial families of arbitrary order

1IntroductionTheproblemofestimatingtheparametersofmultiplesinusoidsinnoisehasre-ceivedconsiderableattentioninthepastthirtyyears,andalotofalgorithmshavebeenestablishedtosolvetheproblem.Amongallofthealgorithms,themaximumlikelihood(ML)estimatorisaprominentone[1],andseveralalgorithms,suchasANP[2]andIMP[3,4]arerelatedtoML.ThedrawbackoftheMLestimatorisitshighcomputationalcomplexity,sothealternatingprojection(AP)algorithm[5]wasdevelopedtomakeitsrealtimerealizationpossible.Butthefundamentaldefic…     

网络类软件下载排行榜(11月)

天空软件站(http://www2.skycn.com)名次分类软件名称1[下载工具]网际快车(FlashGet) V1.65 简体中文版2[下载工具]BitTorrent Plus! II V1.1 Final 简体中文版3[下载工具]影音传送带(Net Transport) V1.93.2764[下载工具]网络蚂蚁(NetAnts) V1.25 中文版5[主页浏览]Microsoft Internet Explorer V6.0 Build 2800简体中文完全版6[下载工具]网际快车(FlashGet) V1.65 Beta 1 中文版7[文件共享]PP点点通 2004 简体中文版8[主页浏览]傲游(Maxthon)(原名MyIE2) V1.1.067 豪华版9[FTP工具]CuteFTP XP V5.0.2 简体中文版10[下载…     

The optimal filtering of a class of dynamic multiscale systems

Inthelasttwodecades,themultiscaleautoregressive(MAR)framework[1—6]wasdevelopedtomodelavarietyofrandomprocessescompactlyandestimatethemeffi-ciently.TheMARwasfirstmotivatedbyBassevilleetal.[1],andbasedontheirworkChouetal.proposedthemultiscalestochasticmodelsandoptimalestimationalgorithmsforarichclassofprocesseswhitenedbywavelettransforms(WT)[7—11].Luettgen[5]andFrakt[6]contributedalottothestochasticrealizationoftheMAR.MARestimatesthestationaryprocessesfromnumerousmeasurementsbymultiscale…     

《中国图象图形学报》文后参考文献编排格式

1.专著、论文集、学位论文、报告[序号]主要责任者.文献题名[文献类型标识].出版地:出版者(或存放单位) ,出版年.起止页码.1　刘国钧,陈绍业,王凤.图书馆目录[M].北京:高等教育出版社,1 95 7:1 5～1 8.2　张筑生.微分半动力系统的不变集[D].北京:北京大学数学系数学研究所,1 983.2 .期刊文章[序号]主要责任者.文献题名[J].刊名,年,卷(期) :起止页码.1　金显贺,王昌长,王忠东等.一种用于在线检测局部放电的数字滤波技术[J].清华大学学报(自然科学版) ,1 993,33( 4 ) :62～67.3.论文集中的析出文章[序号]析出文献主要责任者.析出文献题名[A]…     

青饲料对母猪繁殖性能的影响

,席建超.新世纪我国旅游业发展新因素与新格局[J].旅游管理,2005(1):4-9 [7]李飞,谢祥项.重庆都市旅游形象定位研究[J].重庆大学学报(社会科学版),2004(1):15-19 [8]董观志.重庆旅游产业化发展战略研究[J].地域研究与开发,2002(2):64-67 [9]郭阳旭.重庆旅游发展的结构     

具有状态和控制滞后不确定系统的保性能控制器设计

1　引言本文的目的在于将文献 [1 ]的结论推广到同时具有状态和控制滞后的不确定系统 ,并进而研究其最优保性能控制问题 .考虑具有状态和控制滞后的不确定系统x( t) =[A DF( t) E1 ] x( t) [Ad DF( t) Ed] x( t-d) [B DF( t) E2 ] u( t) [Bh DF( t) Eh]《u》( t-     

临产母猪燃煤废气中毒引发死胎病例报告

ǔ?新世纪我国旅游业发展新因素与新格局[J].旅游管理,2005(1):4-9 [7]李飞,谢祥项.重庆都市旅游形象定位研究[J].重庆大学学报(社会科学版),2004(1):15-19 [8]董观志.重庆旅游产业化发展战略研究[J].地域研究与开发,2002(2):64-67 [9]郭阳旭.重庆旅游发展的结构布局     

勘误启事

由于本人疏忽 ,刊登在《计算机研究与发展》2 0 0 1年第 9期上文章“求补舍入并行和位长自适应整数转浮点数电路设计”中的公式 (5 )有误 ,对由此给广大读者和编辑部带来的麻烦本人深表歉意 .现特此更正 :原公式 ( 5 ) :E[0 ]=Esub[0 ] MSB;E[1]=Esub[1] Esub[0 ]∧ MSB;E[2 ]=Esub[2 ] ( Esub[1]∨ Esub[1]∧ Esub[0 ]∧ MSB) ;E[3 ]=Esub[3 ] ( Esub[2 ]∨ Esub[2 ]∧ Esub[1]∧ Esub[0 ]∧ MSB) ;E[4 ]=Esub[4 ] ( Esub[3 ]∨ Esub[3 ]∧ Esub[2 ]∧ Esub[1]∧ Esub[0 ]∧ MSB) ;E[5 ]=Esub[5 ] ( Esub[4 ]∨ Esub[4 ]…     

一类非线性不确定性系统基于状态观测器的输出反馈镇定控制设计

The output-feedback stabilization control problem is investigated for a class of nonlinear uncertain systems. Based on the multivariable analog of circle criterion, an observer is designed to estimate the system states and hence the dynamical equations that the estimation error satisfies are derived first. Then, by using integral backstepping approach together with completing square technique, the output-feedback stabilization control is constructively designed such that the closedloop system is asymptotically stable. Finally, an example is given to illustrate the main results of this paper.     

Continuous output-feedback stabilization for a class of stochastic high-order nonlinear systems

This paper is concerned with the global stabilization via output-feedback for a class of high-order stochastic nonlinear systems with unmeasurable states dependent growth and uncertain control coefficients. Indeed, there have been abundant deterministic results which recently inspired the intense investigation for their stochastic analogous. However, because of the possibility of non-unique solutions to the systems, there lack basic concepts and theorems for the problem under investigation. First of all, two stochastic stability concepts are generalized to allow the stochastic systems with more than one solution, and a key theorem is given to provide the sufficient conditions for the stochastic stabilities in a weaker sense. Then, by introducing the suitable reduced order observer and appropriate control Lyapunov functions, and by using the method of adding a power integrator, a continuous (nonsmooth) output-feedback controller is successfully designed, which guarantees that the closed-loop system is globally asymptotically stable in probability.     

Global output-feedback stabilization for a class of stochastic non-minimum-phase nonlinear systems

In this paper, the problem of output-feedback stabilization is investigated for the first time for a class of stochastic nonlinear systems whose zero dynamics may be unstable. Under the assumption that the inverse dynamics of the system is stochastic input-to-state stabilizable, a stabilizing output-feedback controller is constructively designed by the integrator backstepping method together with a new reduced-order observer design and the technique of changing supply functions. It is shown that, under small-gain type conditions for small signals, the resulting closed-loop system is globally asymptotically stable in probability. The obtained results extend the existing methodology from deterministic systems to stochastic systems. An example is given to demonstrate the main features and effectiveness of the proposed output-feedback control scheme.     

一类具有未知控制方向非线性系统的输出反馈自适应控制

研究了一类控制方向未知非线性系统的输出反馈自适应镇定问题. 首先, 通过一线性状态变换, 将未知控制系数集中起来, 从而将原系统变换为适于控制设计的新系统. 然后, 分别引入状态观测器和参数估计器, 并应用积分反推和调节函数方法, 给出了输出反馈稳定控制律的构造性设计过程. 可以证明，所设计的控制器确保原系统状态渐近收敛到原点, 而其它闭环系统状态有界. 仿真结论验证了所提出方法的有效性.     

Global adaptive control for a class of uncertain stochastic nonlinear systems with unknown output gain

This paper addresses the global adaptive control problem for a class of uncertain stochastic nonlinear systems in the output-feedback form. Due to the unknown output gain, we construct a full-order homogeneous observer instead of using the system output. Then, by adding a power integrator technique, an output-feedback controller is designed, as well as an adaptive law to deal with the unknown nonlinear growth rates. Based on the generalized stochastic Lyapunov stability theorem, it can be proved that all the signals of the closed-loop system are bounded in probability, and the system states converge to the origin almost surely.     

Global output-feedback stabilization for a class of uncertain time-varying nonlinear systems

This paper investigates the global output-feedback stabilization for a class of uncertain time-varying nonlinear systems. The remarkable structure of the systems is the presence of uncertain control coefficients and unmeasured states dependent growth whose rate is inherently time-varying and of unknown polynomial-of-output, and consequently the systems have heavy nonlinearities, serious uncertainties/unknowns and serious time-variations. This forces us to explore a time-varying plus adaptive methodology to realize the task of output-feedback stabilization, rather than a purely adaptive one. Detailedly, based on a time-varying observer and transformation, an output-feedback controller is designed by skillfully combining adaptive technique, time-varying technique and well-known backstepping method. It is shown that, with the appropriate choice of the design parameters/functions, all the signals of the closed-loop system are bounded, and furthermore, the original system states globally converge to zero. It is worth mentioning that, the heavy nonlinearities are compensated by an updating law, while the serious unknowns and time-variations are compensated by a time-varying function. The designed controller is still valid when the system has an additive input disturbance which, essentially different from those studied previously, may not be periodic or bounded by any known constant.     

Output-feedback control of a class of stochastic nonlinear systems with power growth conditions

This paper investigates the problem of output-feedback stabilization for a class of stochastic nonlinear systems in which the nonlinear terms depend on unmeasurable states besides measurable input. We extend linear growth conditions to power growth conditions and reduce the control effort. By using backstepping technique, choosing a high-gain parameter, an output-feedback controller is designed to ensure the closed-loop system globally asymptotically stable in probability. The efficiency of the output-feedback controller is demonstrated by a simulation example.     

Adaptive fuzzy decentralised control for stochastic nonlinear large-scale systems in pure-feedback form

This paper is concerned with the problem of adaptive fuzzy decentralised output-feedback control for a class of uncertain stochastic nonlinear pure-feedback large-scale systems with completely unknown functions, the mismatched interconnections and without requiring the states being available for controller design. With the help of fuzzy logic systems approximating the unknown nonlinear functions, a fuzzy state observer is designed estimating the unmeasured states. Therefore, the nonlinear filtered signals are incorporated into the backstepping recursive design, and an adaptive fuzzy decentralised output-feedback control scheme is developed. It is proved that the filter system converges to a small neighbourhood of the origin based on appropriate choice of the design parameters. Simulation studies are included illustrating the effectiveness of the proposed approach.     

Global Output‐Feedback Stabilization for Stochastic Nonlinear Systems with Function Control Coefficients

This paper investigates the global output‐feedback stabilization for a class of stochastic nonlinear systems with function control coefficients. Notably, the systems in question possess control coefficients that are functions of output, rather than constants; hence, they are different from the existing literature on stochastic stabilization. To solve the control problem, an appropriate reduced‐order observer is introduced to reconstruct the unmeasured system states before a smooth output‐feedback controller is designed using the backstepping method, which guarantees that the closed‐loop system is globally asymptotically stable in probability. This paper combines the related results in the deterministic and stochastic setting and gives the first treatment on the global output‐feedback stabilization for the stochastic nonlinear systems with function control coefficients. A simulation example is given also to illustrate the effectiveness of the proposed approach.     

具有时变时滞的不确定非完整系统的输出反馈镇定

针对一类含有状态时变时滞的不确定非完整系统, 提出一种输出反馈镇定控制算法. 通过应用不连续的输入-状态变换和缩放变换, 将原始研究系统转换为更利于反馈控制器设计的新系统. 基于此系统设计状态反馈控制律, 通过构造状态观测器、利用必然等价原理给出理想的输出反馈镇定控制器. 分析表明, 所设计的控制器能够使得闭环系统的状态渐近趋于零. 最后通过仿真实例表明了所提出控制策略的有效性.