Stabilization and H{infty} control of two-dimensional Markovian jump systems

This paper extends the results obtained for one-dimensionalMarkovian jump systems, to investigate the problems of stochasticstabilization and H control of two-dimensional (2D) systemswith Markovian jump parameters. The mathematical model of 2Djump systems is established upon the well-known Roesser model,and sufficient conditions are obtained for the existence ofdesired controllers in terms of linear matrix inequalities,which can be readily solved by available numerical software.These obtained results are further extended to more generalcases whose system matrices also contain parameter uncertaintiesrepresented by either polytopic or norm-bounded approaches.A numerical example is provided to show the applicability ofthe proposed theories.     

Semistrictly quasiconvex mappings and non-convex vector optimization

This paper introduces a new class of non-convex vector functions strictly larger than that of P-quasiconvexity, with P ^m being the underlying ordering cone, called semistrictly ( ^m\ –int P)-quasiconvex functions. This notion allows us to unify various results on existence of weakly efficient (weakly Pareto) optima. By imposing a coercivity condition we establish also the compactness of the set of weakly Pareto solutions. In addition, we provide various characterizations for the non-emptiness, convexity and compactness of the solution set for a subclass of quasiconvex vector optimization problems on the real-line. Finally, it is also introduced the notion of explicit ( ^m\ –int P)-quasiconvexity (equivalently explicit (int P)-quasiconvexity) which plays the role of explicit quasiconvexity (quasiconvexity and semistrict quasiconvexity) of real-valued functions.Acknowldegements.The author wishes to thank both referees for their careful reading of the paper, their comments, remarks, helped to improve the presentation of some results. One of the referee provided the references [5, 6] and indirectly [20].     

Holomorphic Vector Bundle on Hopf Manifolds with Abelian Fundamental Groups

Let X be a Hopf manifolds with an Abelian fundamental group. E is a holomorphic vector bundle of rank r with trivial pull-back to W = ℂ ⁿ –{0}. We prove the existence of a non-vanishing section of L⊗E for some line bundle on X and study the vector bundles filtration structure of E. These generalize the results of D. Mall about structure theorem of such a vector bundle E. The research was supported by 973 Project Foundation of China and the Outstanding Youth Science Grant of NSFC (grant no. 19825105)     

HT-7U超导托卡马克极向场反馈控制系统

HL-7U超导托卡马克的极向场反馈控制系统是装置正常运行的重要保证。该控制系统以VXI总线机箱为基本单元、数字信号处理器为核心,组成反馈时间为2-4ms的高速实时反馈系统。简要地叙述了该系统的基本组成以及软件算法的研究。     

Investigating directed cortical interactions in time-resolved fMRI data using vector autoregressive modeling and Granger causality mapping

We present a framework aimed to reveal directed interactions of activated brain areas using time-resolved fMRI and vector autoregressive (VAR) modeling in the context of Granger causality. After describing the underlying mathematical concepts, we present simulations helping to characterize the conditions under which VAR modeling and Granger causality can reveal directed interactions from fluctuations in BOLD-like signal time courses. We apply the proposed approach to a dynamic sensorimotor mapping paradigm. In an event-related fMRI experiment, subjects performed a visuomotor mapping task for which the mapping of two stimuli (“faces” vs “houses”) to two responses (“left” or “right”) alternated periodically between the two possible mappings. Besides expected activity in sensory and motor areas, a fronto-parietal network was found to be active during presentation of a cue indicating a change in the stimulus-response (S-R) mapping. The observed network includes the superior parietal lobule and premotor areas. These areas might be involved in setting up and maintaining stimulus-response associations. The Granger causality analysis revealed a directed influence exerted by the left lateral prefrontal cortex and premotor areas on the left posterior parietal cortex.     

基于参考模型的超声电机模糊自适应控制

针对由日本新生公司生产的USR系列超声电机构成的速度伺服系统提出了一种新的控制方案——基于参考模型的模糊自适应控制。该控制器由参考模型、PI控制器、模糊自适应调节器构成,PI控制器的比例系数的增量△Kp和积分系数的增量△Ki根据模糊自适应调节器模糊推理的结果确定,使得控制器的参数能够随着被控对象参数的变化而改变,从而保证系统的响应跟踪参考模型的输出响应。实验结果表明该控制方案优于一般的PI控制器和模糊PI控制器,并且简单易行,通用性强。     

CDMA系统的功率控制技术

CDMA系统由于频率复用,以及无线信道的衰落等原因,存在"边缘效应"和"远近效应",降低干扰可以直接增加CDMA系统的通信容量,功率控制技术即是一种有效的方法.本文详细阐述了CDMA系统中功率控制的原理,算法及存在的问题和相关解决方法.     

IP智能与WDM技术的融合

讨论了在IP over WDM directly分层结构下,IP层网络与光层网络的三种基本融合方式—静态重叠模型、动态重叠模型和动态对等模型,这三种融合方式体现了IP over WDM directly的演变过程。同时还对各种融合方式中网络的组成结构及相应的控制平面技术作了详尽的阐述。     

计算机仿真技术在电子信息工程专业"自动控制原理"教学中的应用

阐明了将计算机仿真技术引入自动控制原理的教学的必要性,通过实例运用MATLAB语言编制程序,对二阶振荡环节进行时域和频域分析,由分析所得的曲线可清楚地看出阻尼比和自然振荡频率对系统特性的影响,还介绍了MATLAB在自动控制原理教学中的应用情况,结果表明将MATLAB语言应用于自动控制原理教学,能够有效地调动学生的积极性,有助于学生对理论的理解与接受。     

互联网的服务质量控制和管理

文章介绍了互联网的业务管理模式、服务质量控制和管理体系结构,并对服务质量控制和管理的关键技术,如集成服务、区分服务、服务质量计费、服务质量测量等,进行了分析。