为解决电动平台实际运行中控制系统受参数变化和负载波动而导致电动缸性能变差的问题，提出一种基于模糊自适应PID控制系统的设计方法。将模糊自适应理论引入电动平台系统控制中，对单电动缸伺服系统进行建模仿真，并在Matlab的模糊逻辑工具箱中建立仿真模型，并进行仿真分析。实际使用结果表明：模糊自适应PID控制器在改善被控过程的动态性能、稳态性能和抗干扰性能力等方面明显优于PID控制，且控制器设计简单，易于工程实现，大大提高平台的控制精度，完全满足飞行训练技术指标要求。

现有复杂网络节点重要性评估研究主要集中在无向、无权复杂网络上,未能全面客观反映真实复杂网络的情况。本文基于有向加权复杂网络模型,借鉴PageRank排名算法,并结合复杂网络节点重要性评估特点,提出节点重要性评估的新指标―――DWCN - NodeRank和相应评估方法,该指标既反映出节点局部连接的特性,又从全局体现了有向加权复杂网络中整体链接关系对节点重要性的影响。采用真实的复杂网络数据集所进行的仿真实验结果表明,该方法能快速、有效地评估有向加权复杂网络节点的重要性,提高了复杂网络节点重要性评估的实用价值

为了解决PID控制器参数整定过程中的优化和复杂性问题，增强PID控制器参数整定的自适应性，结合差异演化算法和粒子群算法，提出一种带有差异演化变异算子的粒子群混合优化算法，利用一维云模型映射器将人的控制经验通过语言原子转换为控制规则器，设计具有自适应功能的云模型控制器；将该优化算法应用于一维云模型PID控制器参数整定与优化，并与传统方法进行仿真比较．结果表明，基于带有差异演化变异算子的粒子群混合优化算法的智能控制器具有简单易行、控制性能良好、自适应性和鲁棒性强的特点，可为云模型控制器参数设计提供参考．

在低渗透油藏开采过程中,流体在油藏中的渗流特征常表现为非线性渗流特性,渗流方程已不符 合达西定律。通过分析油水两相的渗流特征规律和影响流体非线性渗流的因素,建立了低渗透油藏油水 两相非线性渗流模型 ;然后用全隐式差分格式将渗流方程离散化,构造了非线性渗流的数值模型 ;进而 利用拟牛顿法讨论了数值模型的计算方法,并给出了算法的收敛性定理。

IIR滤波器用较少阶数就获得较高的频率选择特性。根据滤波器的技术指标，采用FDATool工具来设计阶数最小的滤波器，导出滤波器的抽头系数；然后用DSP汇编语言编程，实现IIR算法；用MATLAB产生合成输入信号，导入滤波系统；最后，用CCS软件观察滤波前后的波形变化。波形仿真结果和理论值相吻合。

为了准确评价低渗透油藏的产能动态规律,针对低渗透油藏的渗流特点,建立了考虑非线性渗流特征的产能计算模型,并用Newton - Raphson方法对模型进行求解.结果表明:用启动压力梯度方法计算的产量将比用非线性渗流方法计算的产量低,特别是在井底流压较大时;而用达西方法计算的产量比用非线性渗流方法计算的产量高,特别是在井底流压较小时.非线性渗流方法比传统的启动压力梯度方法更能够反映低渗透油藏的渗流规律.

全球定位系统(global positioning system，GPS)共／全视法的核心是GPS时间比对接收机及后处理算法．自主研制了基于EUR0-160 GPS引擎的高实时性GPS多通道时间比对接收机及实时数据处理算法．为了验证接收机的精度，与国外商用GPS P3码接收机进行了零基线共钟与零基线不共钟的实验．实验结果表明，研制的高实时性 GPS时间比对接收机与国外商用GPS P3码接收机技术水平相当．

新一代视频压缩编码技术！今年刚认证的H.265编码标准，前几天一直找不到白皮书，今天发上来，估计不少人也在找吧。下面是目录： CONTENTS Page Abstract i 0 Introduction 1 0.1 General 1 0.2 Prologue 1 0.3 Purpose 1 0.4 Applications 1 0.5 Publication and versions of this Specification 1 0.6 Profiles, tiers and levels 2 0.7 Overview of the design characteristics 2 0.8 How to read this Specification 2 1 Scope 3 2 Normative references 3 2.1 General 3 2.2 Identical Recommendations | International Standards 3 2.3 Paired Recommendations | International Standards equivalent in technical content 3 2.4 Additional references 3 3 Definitions 3 4 Abbreviations 12 5 Conventions 13 5.1 General 13 5.2 Arithmetic operators 13 5.3 Logical operators 13 5.4 Relational operators 14 5.5 Bit-wise operators 14 5.6 Assignment operators 14 5.7 Range notation 14 5.8 Mathematical functions 15 5.9 Order of operation precedence 15 5.10 Variables, syntax elements, and tables 16 5.11 Text description of logical operations 17 5.12 Processes 18 6 Bitstream and picture formats, partitionings, scanning processes, and neighbouring relationships 18 6.1 Bitstream formats 18 6.2 Source, decoded, and output picture formats 18 6.3 Partitioning of pictures, slices, slice segments, tiles, coding tree units, and coding tree blocks 21 6.3.1 Partitioning of pictures into slices, slice segments, and tiles 21 6.3.2 Block and quadtree structures 22 6.3.3 Spatial or component-wise partionings 23 6.4 Availability processes 23 6.4.1 Derivation process for z-scan order block availability 23 6.4.2 Derivation process for prediction block availability 24 6.5 Scanning processes 25 6.5.1 Coding tree block raster and tile scanning conversion process 25 6.5.2 Z-scan order array initialization process 26 6.5.3 Up-right diagonal scan order array initialization process 26 6.5.4 Horizontal scan order array initialization process 27 6.5.5 Vertical scan order array initialization process 27 7 Syntax and semantics 28 7.1 Method of specifying syntax in tabular form 28 7.2 Specification of syntax functions and descriptors 29 7.3 Syntax in tabular form 30 7.3.1 NAL unit syntax 30 7.3.1.1 General NAL unit syntax 30 7.3.1.2 NAL unit header syntax 30 7.3.2 Raw byte sequence payloads, trailing bits, and byte alignment syntax 31 7.3.2.1 Video parameter set RBSP syntax 31 7.3.2.2 Sequence parameter set RBSP syntax 32 7.3.2.3 Picture parameter set RBSP syntax 34 7.3.2.4 Supplemental enhancement information RBSP syntax 35 7.3.2.5 Access unit delimiter RBSP syntax 35 7.3.2.6 End of sequence RBSP syntax 35 7.3.2.7 End of bitstream RBSP syntax 35 7.3.2.8 Filler data RBSP syntax 36 7.3.2.9 Slice segment layer RBSP syntax 36 7.3.2.10 RBSP slice segment trailing bits syntax 36 7.3.2.11 RBSP trailing bits syntax 36 7.3.2.12 Byte alignment syntax 36 7.3.3 Profile, tier and level syntax 37 7.3.4 Scaling list data syntax 38 7.3.5 Supplemental enhancement information message syntax 38 7.3.6 Slice segment header syntax 39 7.3.6.1 General slice segment header syntax 39 7.3.6.2 Reference picture list modification syntax 41 7.3.6.3 Weighted prediction parameters syntax 42 7.3.7 Short-term reference picture set syntax 43 7.3.8 Slice segment data syntax 43 7.3.8.1 General slice segment data syntax 43 7.3.8.2 Coding tree unit syntax 44 7.3.8.3 Sample adaptive offset syntax 45 7.3.8.4 Coding quadtree syntax 46 7.3.8.5 Coding unit syntax 47 7.3.8.6 Prediction unit syntax 49 7.3.8.7 PCM sample syntax 49 7.3.8.8 Transform tree syntax 50 7.3.8.9 Motion vector difference syntax 50 7.3.8.10 Transform unit syntax 51 7.3.8.11 Residual coding syntax 52 7.4 Semantics 54 7.4.1 General 54 7.4.2 NAL unit semantics 54 7.4.2.1 General NAL unit semantics 54 7.4.2.2 NAL unit header semantics 55 7.4.2.3 Encapsulation of an SODB within an RBSP (informative) 58 7.4.2.4 Order of NAL units and association to coded pictures, access units, and coded video sequences 59 7.4.3 Raw byte sequence payloads, trailing bits, and byte alignment semantics 62 7.4.3.1 Video parameter set RBSP semantics 62 7.4.3.2 Sequence parameter set RBSP semantics 64 7.4.3.3 Picture parameter set RBSP semantics 69 7.4.3.4 Supplemental enhancement information RBSP semantics 72 7.4.3.5 Access unit delimiter RBSP semantics 72 7.4.3.6 End of sequence RBSP semantics 72 7.4.3.7 End of bitstream RBSP semantics 72 7.4.3.8 Filler data RBSP semantics 73 7.4.3.9 Slice segment layer RBSP semantics 73 7.4.3.10 RBSP slice segment trailing bits semantics 73 7.4.3.11 RBSP trailing bits semantics 73 7.4.3.12 Byte alignment semantics 73 7.4.4 Profile, tier and level semantics 73 7.4.5 Scaling list data semantics 75 7.4.6 Supplemental enhancement information message semantics 76 7.4.7 Slice segment header semantics 77 7.4.7.1 General slice segment header semantics 77 7.4.7.2 Reference picture list modification semantics 81 7.4.7.3 Weighted prediction parameters semantics 82 7.4.8 Short-term reference picture set semantics 83 7.4.9 Slice segment data semantics 85 7.4.9.1 General slice segment data semantics 85 7.4.9.2 Coding tree unit semantics 85 7.4.9.3 Sample adaptive offset semantics 85 7.4.9.4 Coding quadtree semantics 87 7.4.9.5 Coding unit semantics 87 7.4.9.6 Prediction unit semantics 89 7.4.9.7 PCM sample semantics 90 7.4.9.8 Transform tree semantics 90 7.4.9.9 Motion vector difference semantics 91 7.4.9.10 Transform unit semantics 91 7.4.9.11 Residual coding semantics 92 8 Decoding process 94 8.1 General decoding process 94 8.2 NAL unit decoding process 95 8.3 Slice decoding process 96 8.3.1 Decoding process for picture order count 96 8.3.2 Decoding process for reference picture set 96 8.3.3 Decoding process for generating unavailable reference pictures 100 8.3.3.1 General decoding process for generating unavailable reference pictures 100 8.3.3.2 Generation of one unavailable picture 101 8.3.4 Decoding process for reference picture lists construction 101 8.4 Decoding process for coding units coded in intra prediction mode 102 8.4.1 General decoding process for coding units coded in intra prediction mode 102 8.4.2 Derivation process for luma intra prediction mode 103 8.4.3 Derivation process for chroma intra prediction mode 105 8.4.4 Decoding process for intra blocks 105 8.4.4.1 General decoding process for intra blocks 105 8.4.4.2 Intra sample prediction 106 8.5 Decoding process for coding units coded in inter prediction mode 112 8.5.1 General decoding process for coding units coded in inter prediction mode 112 8.5.2 Inter prediction process 112 8.5.3 Decoding process for prediction units in inter prediction mode 115 8.5.3.1 General 115 8.5.3.2 Derivation process for motion vector components and reference indices 115 8.5.3.3 Decoding process for inter prediction samples 130 8.5.4 Decoding process for the residual signal of coding units coded in inter prediction mode 138 8.5.4.1 General 138 8.5.4.2 Decoding process for luma residual blocks 139 8.5.4.3 Decoding process for chroma residual blocks 140 8.6 Scaling, transformation and array construction process prior to deblocking filter process 141 8.6.1 Derivation process for quantization parameters 141 8.6.2 Scaling and transformation process 142 8.6.3 Scaling process for transform coefficients 143 8.6.4 Transformation process for scaled transform coefficients 144 8.6.4.1 General 144 8.6.4.2 Transformation process 144 8.6.5 Picture construction process prior to in-loop filter process 146 8.7 In-loop filter process 146 8.7.1 General 146 8.7.2 Deblocking filter process 147 8.7.2.1 General 147 8.7.2.2 Derivation process of transform block boundary 148 8.7.2.3 Derivation process of prediction block boundary 149 8.7.2.4 Derivation process of boundary filtering strength 150 8.7.2.5 Edge filtering process 151 8.7.3 Sample adaptive offset process 159 8.7.3.1 General 159 8.7.3.2 Coding tree block modification process 159 9 Parsing process 161 9.1 General 161 9.2 Parsing process for 0-th order Exp-Golomb codes 161 9.2.1 General 161 9.2.2 Mapping process for signed Exp-Golomb codes 163 9.3 CABAC parsing process for slice segment data 163 9.3.1 General 163 9.3.2 Initialization process 165 9.3.2.1 General 165 9.3.2.2 Initialization process for context variables 166 9.3.2.3 Storage process for context variables 174 9.3.2.4 Synchronization process for context variables 174 9.3.2.5 Initialization process for the arithmetic decoding engine 174 9.3.3 Binarization process 175 9.3.3.1 General 175 9.3.3.2 Truncated Rice (TR) binarization process 176 9.3.3.3 k-th order Exp-Golomb (EGk) binarization process 177 9.3.3.4 Fixed-length (FL) binarization process 178 9.3.3.5 Binarization process for part_mode 178 9.3.3.6 Binarization process for intra_chroma_pred_mode 178 9.3.3.7 Binarization process for inter_pred_idc 179 9.3.3.8 Binarization process for cu_qp_delta_abs 179 9.3.3.9 Binarization process for coeff_abs_level_remaining 179 9.3.4 Decoding process flow 180 9.3.4.1 General 180 9.3.4.2 Derivation process for ctxTable, ctxIdx and bypassFlag 180 9.3.4.3 Arithmetic decoding process 186 9.3.5 Arithmetic encoding process (informative) 192 9.3.5.1 General 192 9.3.5.2 Initialization process for the arithmetic encoding engine (informative) 192 9.3.5.3 Encoding process for a binary decision (informative) 193 9.3.5.4 Renormalization process in the arithmetic encoding engine (informative) 194 9.3.5.5 Bypass encoding process for binary decisions (informative) 195 9.3.5.6 Encoding process for a binary decision before termination (informative) 196 9.3.5.7 Byte stuffing process (informative) 197 10 Sub-bitstream extraction process 198 Annex A Profiles, tiers and levels 199 A.1 Overview of profiles, tiers and levels 199 A.2 Requirements on video decoder capability 199 A.3 Profiles 199 A.3.1 General 199 A.3.2 Main profile 199 A.3.3 Main 10 profile 200 A.3.4 Main Still Picture profile 200 A.4 Tiers and levels 201 A.4.1 General tier and level limits 201 A.4.2 Profile-specific level limits for the Main and Main 10 profiles 202 A.4.3 Effect of level limits on picture rate for the Main and Main 10 profiles (informative) 204 Annex B Byte stream format 208 B.1 General 208 B.2 Byte stream NAL unit syntax and semantics 208 B.2.1 Byte stream NAL unit syntax 208 B.2.2 Byte stream NAL unit semantics 208 B.3 Byte stream NAL unit decoding process 209 B.4 Decoder byte-alignment recovery (informative) 209 Annex C Hypothetical reference decoder 210 C.1 General 210 C.2 Operation of coded picture buffer (CPB) 214 C.2.1 General 214 C.2.2 Timing of decoding unit arrival 214 C.2.3 Timing of decoding unit removal and decoding of decoding unit 216 C.3 Operation of the decoded picture buffer (DPB) 218 C.3.1 General 218 C.3.2 Removal of pictures from the DPB 218 C.3.3 Picture output 219 C.3.4 Current decoded picture marking and storage 220 C.4 Bitstream conformance 220 C.5 Decoder conformance 221 C.5.1 General 221 C.5.2 Operation of the output order DPB 222 C.5.2.1 General 222 C.5.2.2 Output and removal of pictures from the DPB 222 C.5.2.3 Picture decoding, marking, additional bumping, and storage 223 C.5.2.4 "Bumping" process 223 Annex D Supplemental enhancement information 225 D.1 General 225 D.2 SEI payload syntax 226 D.2.1 General SEI message syntax 226 D.2.2 Buffering period SEI message syntax 228 D.2.3 Picture timing SEI message syntax 229 D.2.4 Pan-scan rectangle SEI message syntax 229 D.2.5 Filler payload SEI message syntax 230 D.2.6 User data registered by Rec. ITU-T T.35 SEI message syntax 230 D.2.7 User data unregistered SEI message syntax 230 D.2.8 Recovery point SEI message syntax 230 D.2.9 Scene information SEI message syntax 231 D.2.10 Picture snapshot SEI message syntax 231 D.2.11 Progressive refinement segment start SEI message syntax 231 D.2.12 Progressive refinement segment end SEI message syntax 231 D.2.13 Film grain characteristics SEI message syntax 232 D.2.14 Post-filter hint SEI message syntax 232 D.2.15 Tone mapping information SEI message syntax 233 D.2.16 Frame packing arrangement SEI message syntax 234 D.2.17 Display orientation SEI message syntax 234 D.2.18 Structure of pictures information SEI message syntax 235 D.2.19 Decoded picture hash SEI message syntax 235 D.2.20 Active parameter sets SEI message syntax 235 D.2.21 Decoding unit information SEI message syntax 236 D.2.22 Temporal sub-layer zero index SEI message syntax 236 D.2.23 Scalable nesting SEI message syntax 236 D.2.24 Region refresh information SEI message syntax 237 D.2.25 Reserved SEI message syntax 237 D.3 SEI payload semantics 237 D.3.1 General SEI payload semantics 237 D.3.2 Buffering period SEI message semantics 240 D.3.3 Picture timing SEI message semantics 242 D.3.4 Pan-scan rectangle SEI message semantics 247 D.3.5 Filler payload SEI message semantics 248 D.3.6 User data registered by Rec. ITU-T T.35 SEI message semantics 248 D.3.7 User data unregistered SEI message semantics 248 D.3.8 Recovery point SEI message semantics 248 D.3.9 Scene information SEI message semantics 249 D.3.10 Picture snapshot SEI message semantics 252 D.3.11 Progressive refinement segment start SEI message semantics 252 D.3.12 Progressive refinement segment end SEI message semantics 253 D.3.13 Film grain characteristics SEI message semantics 253 D.3.14 Post-filter hint SEI message semantics 258 D.3.15 Tone mapping information SEI message semantics 259 D.3.16 Frame packing arrangement SEI message semantics 263 D.3.17 Display orientation SEI message semantics 270 D.3.18 Structure of pictures information SEI message semantics 271 D.3.19 Decoded picture hash SEI message semantics 272 D.3.20 Active parameter sets SEI message semantics 273 D.3.21 Decoding unit information SEI message semantics 273 D.3.22 Temporal sub-layer zero index SEI message semantics 275 D.3.23 Scalable nesting SEI message semantics 275 D.3.24 Region refresh information SEI message semantics 276 D.3.25 Reserved SEI message semantics 277 Annex E Video usability information 278 E.1 General 278 E.1 VUI syntax 279 E.1.1 VUI parameters syntax 279 E.1.2 HRD parameters syntax 281 E.1.3 Sub-layer HRD parameters syntax 282 E.2 VUI semantics 282 E.2.1 VUI parameters semantics 282 E.2.2 HRD parameters semantics 294 E.2.3 Sub-layer HRD parameters semantics 296 Bibliography 298

CON1148_Gee2013年ORACLE全球大会资料.pptx

针对具有本质非线性动态的多智能体网络，研究分布式包容控制问题。假设只有部分个体已知领航者信息，依据相对位置和速度信息设计分布式控制律。基于代数图论、矩阵理论和Lyapunov稳定性分析方法，得出非线性网络实现渐近包容控制的充分条件。当跟随者之间有向强连通且每个跟随者都至少存在一个领航者与其通信，可选取合适的控制增益使得跟随者渐近收敛到由多个领航者所围成的静态凸包中。仿真实例验证了理论分析的正确性和有效性。