一类带Markov过程的Ito型随机系统的H_∞分析

研究一类带Markov跳过程的Ito型随机系统的H_∞分析问题。得到了随机系统稳定的充要条件,在给定干扰抑制水平γ的前提下,得到了随机γ-稳定的一个充要条件,并且此结果具有一定的广泛性。

基于维纳过程的随机时滞系统滤波器的H∞稳定性分析

本文构造了一个随机滤波系统。此滤波系统针对的是一类具有维纳随机过程特性的的随机时变时滞系统。然后给出了该滤波系统稳定且具备一定的H无穷性能的充分条件,并利用自由权矩阵方法和线性矩阵不等式(LMI)进行求解。求解出一组时滞相关的矩阵不等式,此不等式充分表达了该系统稳定的充分条件。

H_∞ Robust Fault-Tolerant Controller Design for an Autonomous Underwater Vehicle’s Navigation Control System

In order to improve the security and reliability for autonomous underwater vehicle （AUV） navigation, an H∞ robust fault-tolerant controller was designed after analyzing variations in state-feedback gain Operating conditions and the design method were then analyzed so that the control problem could be expressed as a mathematical optimization problem. This permitted the use of linear matrix inequalities （LMI） to solve for the Hv controller for the system. When considering different actuator failures, these conditions were then also mathematically expressed, allowing the H∞ robust controller to solve for these events and thus be fault-tolerant. Finally, simulation results showed that the H∞ robust fault-tolerant controller could provide precise AUV navigation control with strong robustness.

Sequence Analysis of Polymorphic Fragments in the Third Intron of Porcine H-FABP Gene

[ Objective] The aim of this study was to provide a theoretical basis for exploring the major genes affecting intramuscular fat （IMF） deposition. [Method] Taking 383 pigs from five breeds including Mashen Pig, Large White Pig, Landrace, Duroc and Shanxi White Pig as the experimental animals, polymorphisms of partial fragments in the third intron of porcine H-FABP gene were detected by PCR-SSCP method, and then the polymorphic fragments were sequenced. [ Result] Two alleles, designated as A and B, were found at the locus 346 in the third intron of porcine H-FABP gene, and the mutation was caused by a A→G substitution. [ Conclusion] A polymorphic locus was discovered in the third intron of porcine H-FABP gene in this experiment, laying a foundation for the further study on the relationship between H-FABP gene and IMF content.

基于输出严格无源的切换非线性系统的H_∞分析

针对切换非线性系统,考虑了基于输出严格无源性的H∞问题.利用每个子系统的输出严格无源性(这里并不要求每个子系统都在整个时间域上满足输出严格无源性,只要求子系统在其激活时间段内满足输出严格无源性),同时借助切换系统理论中的多Lyapunov函数方法,用输出严格无源性中的存储函数作为备选的多Lyapunov函数,设计了依赖存储函数的最小切换规则,研究了一类切换非线性系统的H∞问题,给出了存在H∞性能指标的充分条件.此外,这种基于输出严格无源性的方法也可用于分析切换级联系统的H∞问题.最后,通过仿真算例验证了这种基于输出严格无源性的方法的有效性.

A novel dynamic frame rate control algorithm for H.264 low-bit-rate video coding

The goal of this paper is to improve human visual perceptual quality as well as coding efficiency of H. 264 video at low bit rate conditions by adaptively adjusting the number of skipped frames. The encoding frames are selected according to the motion activity of each frame and the motion accumulation of successive frames. The motion activity analysis is based on the statistics of motion vectors and with consider- ation of the characteristics of H. 264 coding standard. A prediction model of motion accumulation is pro- posed to reduce complex computation of motion estimation. The dynamic encoding frame rate control algorithm is applied to both the frame level and the GOB （Group of Macroblocks ） level. Simulation is done to compare the performance of JM76 with the proposed frame level scheme and GOB level scheme.

Quantization Skipping Method for H.264/AVC Video Coding

This paper presents a quantization skipping method for H. 264/AVC video coding standard. In order to reduce the conputational-cost of quantization process coming from integer discrete cosine transform of H. 264/AVC, a quantization skipping condition is derived by the analysis of integer transform and quantization procedures. The expeerimental results show that the proposed algorithm has the capability to reduce the computional cost about 10% -2.5%.

Exponential H_∞ filtering analysis for discrete-time switched neural networks with random delays using sojourn probabilities

This paper is concerned with the exponential H_∞ filtering problem for a class of discrete-time switched neural networks with random time-varying delays based on the sojourn-probability-dependent method. Using the average dwell time approach together with the piecewise Lyapunov function technique, sufficient conditions are proposed to guarantee the exponential stability for the switched neural networks with random time-varying delays which are characterized by introducing a Bernoulli stochastic variable.Based on the derived H_∞ performance analysis results, the H_∞ filter design is formulated in terms of Linear Matrix Inequalities(LMIs). Finally, two numerical examples are presented to demonstrate the effectiveness of the proposed design procedure.

Scenario Prediction and Analysis of Urban Growth Using SLEUTH Model

Scenario prediction was introduced to better understand urban dynamics and to support urban planning. Taking the Dongguan central urban area of the Pearl River Delta, China as an example, three urban development scenarios, historical trend (HT) scenario, forest protection (FP) scenario, and growth restriction (GR) scenario, were designed and transplanted into the SLEUTH model through the parameter self-modification method. The quantitative analysis results showed that the urban area would expand continuously from 2003 to 2030 under the HT scenario. More land resources would be saved under the GR scenario than FP scenario. Furthermore, the urban growth under the HT and FP scenarios would come to a steady state by 2020, while this deadline of the GR scenario would be postponed to 2025. The spatial pattern analysis using five spatial metrics, class area, number of patches, largest patch index, edge density, and contagion index, showed that under all the scenarios, the urban patches would become bigger and the form would become more compact, and the urban form under the GR scenario would be the smallest and most heterogeneous. These demonstrated that the GR scenario was more effective in meeting the goal of land protection and sustainable development for the study area.

A multiple-reaction-monitoring mass spectrometric method for simultaneous quantitative analysis of five plasma apolipoproteins

A multiplexed targeted proteomic assay using a mTRAQ-MRM/MS-based approach was developed and assessed to systematically quantify the relative expressions of five candidate plasma apolipoproteins that have been previously shown to be dysregulated in neuropsychiatric disorders and cognitive dysfunction:apolipoprotein H(APOH),apolipoprotein J(APOJ),apolipoprotein A4(APOA4),apolipoprotein E(APOE),and apolipoprotein D(APOD).The peptides and transitions of each APO were carefully selected according to the tandem MS signals acquired on a TripleTOFTM 5600,followed by optimization of the declustering potential and collision energy voltages for transitions on a QTRAP 5500.Our results showed that the collision energies of mTRAQ-labeled peptides were approximately 15%–20%higher than corresponding non-labeled peptides.Through optimized transitions and parameters,we analyzed the relative abundances of the five APOs in human plasma with and without depletion of high abundant proteins.The results indicated that the MRM signals of four target APOs were significantly increased after depletion,while the MRM signal of one APO,APOD,was decreased.Furthermore,the relative abundances of the five target APOs in healthy human plasma were stable,and the ranking of these proteins according to their MS responses changed slightly.Therefore,we deduced that the rank order of the MS signals for these target proteins can be developed as a diagnostic signature for diseased plasma.