On the distributed stable full information H∞ minimax problem

We study the distributed parameter suboptimal full information H^∞ problem for a stable well-posed linear system with control u, disturbance w, state x, and output y. Here u, w, and y are L²-signals on (0,∞) with values in the Hilbert spaces U, W, and Y, and the state x is a continuous function of time with values in the Hilbert space H. The problem is to determine if there exists a (dynamic) γ-suboptimal feedforward compensator, i.e., a compensator 𝒰 such that the choice u = 𝒰w makes the norm of the input/output map from w to y less than a given constant γ. A sufficient condition for the existence of a γ-suboptimal compensator is that an appropriately extended input/output map of the system has a (J,S)-inner–outer factorization of a special type, and if the control and disturbance spaces are finite-dimensional and the system has an L¹ impulse response, then this condition is also necessary. Moreover, in this case there exists a central state feedback/feedforward controller, which can be used to give a simple parameterization of the set of all γ-suboptimal compensators. Our proof use a game theory approach. © 1998 John Wiley & Sons, Ltd.     

Design of noise and period-time robust high-order repetitive control, with application to optical storage

Repetitive control is useful if periodic disturbances or setpoints act on a control system. Perfect (asymptotic) disturbance rejection is achieved if the period time is exactly known. The improved disturbance rejection at the periodic frequency and its harmonics is achieved at the expense of a degraded system sensitivity at intermediate frequencies. A convex optimization problem is defined for the design of high-order repetitive controllers, where a trade-off can be made between robustness for changes in the period time and for reduction of the error spectrum in-between the harmonic frequencies. The high-order repetitive control algorithms are successfully applied in experiments with the tracking control of a CD-player system.     

一种适用于嵌入式媒体播放器的音视频同步方法

目前已存在几种嵌入式媒体播放器,但是由于环境的特殊性,播放时常常会出现音视频不同步的现象。给出了一种适用于嵌入式媒体播放器的音视频同步方法,并在自主开发的以嵌入式Linux和图形用户界面Qt为软件平台的媒体播放器上进行了验证。     

嵌入式流媒体播放器软件的设计与实现

该文提出了一种应用于移动设备的流媒体播放器设计方案。论述了移动流媒体播放器的软件设计,包括流媒体播放器结构,以及主控模块、网络接收模块、音视频解码播放模块的分析和设计。     

嵌入式高清媒体播放机的设计与实现

随着高清节目的流行,高清媒体播放机也逐渐成为新一代的媒体播放设备。介绍了一种基于Sigma Designs公司SMP8634芯片为核心、采用嵌入式LINUX操作系统设计的高清媒体播放机。     

基于环保的广告机概念设计

广告机这一产品通过视频、音频的形式向公众传达信息,其主要使用环境为公共场合。在广告机概念设计上。不仅注重外观的时尚和简洁,有时为了向人们传达环保的理念,特别在广告机面板下方的广告单领取口镂空丝印一个树和海洋图标。当人们领取广告单时,广告单数量减少．图标会逐渐的产生变化。通过这种图标的变化来警示人们环保的重要性。     

基于遗传模糊推理的RPG玩家体验综合评估方法

为更高效自动地评估游戏中玩家的主观体验,强调主观满意度在游戏评估中的作用,提出一个基于玩家主观评价方法构造角色扮演类游戏(RPG)的评估模型.通过因子分析处理问卷收集的玩家评分,降维后得到7个游戏评估因子并进行解释.使用适合于描述人类思维特点的模糊推理机制来模拟玩家的评价过程,配合遗传算法来调整模糊推理过程中的参数,有效提高了评估模型的准确性.     

基于帧间差分的足球球员检测算法

针对帧间差分法不能很好应用于变化场景的缺陷,提出了一种改进的帧间差分法,通过边缘提取、区域补偿等操作将该方法应用到足球视频中,对球员进行有效的检测.该方法首先利用颜色空间统计信息反投影技术得到运动场地,利用球场的主色对球场边缘进行补色,区域补偿,得到固定场景.利用帧间差分法检测球员,最后通过对球员候选区域的颜色信息与模板直方图匹配,达到对球员的队属辨别的目的.实验结果表明,该方法检测效果很好且具鲁棒性.     

Automatic playlist generation based on tracking user’s listening habits

Algorithms for automatic playlist generation solve the problem of tedious and time consuming manual selection of musical playlists. These algorithms generate playlists according to the user’s music preferences of the moment. The user describes his preferences either by manually inputting a couple of example songs, or by defining constraints for the choice of music. The approaches to automatic playlist generation up to now were based on examining the metadata attached to the music pieces. Some of them took also the listening history into account. But anyway, a heavy accent has been put on the metadata, while the listening history, if it was used at all, had a minor role. Missings and errors in metadata frequently appear, especially when the music is acquired from the Internet. When the metadata is missing or wrong, the approaches proposed so far cannot work. Besides, entering constraints for the playlist generation can be a difficult activity. In our approach we ignored the metadata and focused on examining the listening habits. We developed two simple algorithms that track the listening habits and form a listener model—a profile of listening habits. The listener model is then used for automatic playlist generation. We developed a simple media player which tracks the listening habits and generates playlists according to the listener model. We tried the solution with a group of users. The experiment was not a successful one, but it threw some new light on the relationship between the listening habits and playlist generation.     

快速练级攻略

那么，在玩家初步了职业分化和游戏特色内容以后，就可以进入游戏中开始自己的武林征程了，由于笔者内测体验有限，仅以30级以前的游戏经历与大家共享。