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stochastic control相关的网络例句

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与 stochastic control 相关的网络例句 [注:此内容来源于网络,仅供参考]

This paper is mainly the dynamic input-output model that the time lag is one, which is base on the above models. After studying, we consider stochastic factor step by step in it, namely when consumption coefficient matrix is stochastic (when investment matrix is stochastic, it is almost same. So we dont research it), and they are both stochastic, then we research the stable increase solution. We utilize the means of the modern stochastic analysis and Markov process, that the stochastic dynamic input-output model don not exist the stable solution is proved. Namely, economic system must is adjusted constantly. The probability that the collapse time of the economic system is o is one.

本文对在上述基础上构造的一类时滞为1的动态投入产出模型,进行了深入研究,将随机因素逐步考虑进去,即对投入产出消耗系数矩阵为随机的情况(投资系数矩阵为随机的情况与投入产出消耗系数矩阵为随机的情况大致相同,这里就不再证明),以及二者同时为随机矩阵时所得到的动态投入产出模型的稳定增长解问题,利用现代概率分析及马氏过程的工具,证明了不存在随机动态投入产出模型的稳定增长解;即投入产出模型反映的经济系统必须经常进行调整,其崩溃时间为无穷大的概率为零。

Quasi Hamiltonian system; nonlinear stochastic optimal control; robustness; robust control; parametric uncertainty; uncertain disturbance; Bouc-Wen hysteretic system; Preisach hysteretic system; minimax optimal control; stochastic stabilization; stochastic averaging method; stochastic dynamical programming principle; stochastic differential game; maximal Lyapunov exponent

国家自然科学基金;拟Hamilton系统;非线性随机最优控制;鲁棒性;鲁棒控制;参数不确定性;不确定扰动; Bouc-Wen滞迟系统; Preisach滞迟系统;极小极大最优控制;随机稳定化;随机平均法;随机动态规划原理;随机微分对策;最大Lyapunov指数

PART 1 UNIT 1 B Electrical and Electronic Engineering Basics A Electrical Networks ———————————— 3 Three-phase Circuits A The Operational Amplifier ——————————— 5 UNIT 2 B Transistors A Logical Variables and Flip-flop —————————— 8 UNIT 3 B Binary Number System A Power Semiconductor Devices —————————— 11 UNIT 4 B Power Electronic Converters A Types of DC Motors —————————————15 UNIT 5 B Closed-loop Control of DC Drivers A AC Machines ———————————————19 UNIT 6 B Induction Motor Drive A Electric Power System ————————————22 UNIT 7 B PART 2 UNIT 1 B Power System Automation Control Theory A The World of Control ————————————27 —————29 The Transfer Function and the Laplace Transformation UNIT 2 B A Stability and the Time Response ————————— 30 Steady State————————————————— 31 A The Root Locus ————————————— 32 ————— 33 UNIT 3 B The Frequency Response Methods: Nyquist Diagrams UNIT 4 A The Frequency Response Methods: Bode Piots ————— 34 B Nonlinear Control System 37 UNIT 5 A Introduction to Modern Control Theory B State Equations 40 38 UNIT 6 A Controllability, Observability, and Stability B Optimum Control Systems UNIT 7 A Conventional and Intelligent Control B Artificial Neural Network Computer Control Technology A Computer Structure and Function 42 B Fundamentals of Computer and Networks 43 44 PART 3 UNIT 1 UNIT 2 A Interfaces to External Signals and Devices B The Applications of Computers 46 UNIT 3 A PLC Overview B PACs for Industrial Control, the Future of Control UNIT 4 A Fundamentals of Single-chip Microcomputer 49 B Understanding DSP and Its Uses 1 UNIT 5 A A First Look at Embedded Systems B Embedded Systems Design Process Control A A Process Control System B 50 PART 4 UNIT 1 Fundamentals of Process Control 52 53 UNIT 2 A Sensors and Transmitters B Final Control Elements and Controllers UNIT 3 A P Controllers and PI Controllers B PID Controllers and Other Controllers UNIT 4 A Indicating Instruments B Control Panels Control Based on Network and Information A Automation Networking Application Areas B Evolution of Control System Architecture PART 5 UNIT 1 UNIT 2 A Fundamental Issues in Networked Control Systems B Stability of NCSs with Network-induced Delay UNIT 3 A Fundamentals of the Database System B Virtual Manufacturing—A Growing Trend in Automation UNIT 4 A Concepts of Computer Integrated Manufacturing B Enterprise Resources Planning and Beyond Synthetic Applications of Automatic Technology A Recent Advances and Future Trends in Electrical Machine Drivers B System Evolution in Intelligent Buildings PART 6 UNIT 1 UNIT 2 A Industrial Robot B A General Introduction to Pattern Recognition UNIT 3 A Renewable Energy B Electric Vehicles UNIT 1 A

电路 2 电路或电网络由以某种方式连接的电阻器,电感器和电容器等元件组成。如果网络不包含能源,如电池或发电机,那么就被称作无源网络。换句话说,如果存在一个或多个能源,那么组合的结果为有源网络。在研究电网络的特性时,我们感兴趣的是确定电路中的电压和电流。因为网络由无源电路元件组成,所以必须首先定义这些元件的电特性。就电阻来说,电压-电流的关系由欧姆定律给出,欧姆定律指出:电阻两端的电压等于电阻上流过的电流乘以电阻值。在数学上表达为: u=iR (1-1A-1)式中 u=电压,伏特;i =电流,安培;R =电阻,欧姆。纯电感电压由法拉第定律定义,法拉第定律指出:电感两端的电压正比于流过电感的电流随时间的变化率。因此可得到:U=Ldi/dt 式中 di/dt =电流变化率,安培/秒; L =感应系数,享利。电容两端建立的电压正比于电容两极板上积累的电荷 q 。因为电荷的积累可表示为电荷增量 dq 的和或积分,因此得到的等式为 u=,式中电容量 C 是与电压和电荷相关的比例常数。由定义可知,电流等于电荷随时间的变化率,可表示为 i = dq/dt。因此电荷增量 dq 等于电流乘以相应的时间增量,或 dq = i dt,那么等式(1-1A-3)可写为式中 C =电容量,法拉。

PART 1 Electrical and Electronic Engineering Basics UNIT 1 A Electrical Networks B Three-phase Circuits UNIT 2 A The Operational Amplifier ——————————— 5 B Transistors UNIT 3 A Logical Variables and Flip-flop —————————— 8 ———————————— 3 B Binary Number System UNIT 4 A Power Semiconductor Devices —————————— 11 B Power Electronic Converters UNIT 5 A Types of DC Motors —————————————15 B Closed-loop Control of DC Drivers UNIT 6 A AC Machines ———————————————19 B Induction Motor Drive UNIT 7 A Electric Power System ————————————22 B Power System Automation PART 2 Control Theory UNIT 1 A The World of Control ————————————27 B The Transfer Function and the Laplace Transformation UNIT 2 A B —————29 Stability and the Time Response ————————— 30 ————————————— 32 Steady State————————————————— 31 UNIT 3 A The Root Locus B The Frequency Response Methods: Nyquist Diagrams ————— 33 UNIT 4 A The Frequency Response Methods: Bode Piots ————— 34 B Nonlinear Control System 37 UNIT 5 A Introduction to Modern Control Theory B UNIT 6 State Equations 40 38 A Controllability, Observability, and Stability B Optimum Control Systems UNIT 7 A Conventional and Intelligent Control B Artificial Neural Network PART 3 UNIT 1 Computer Control Technology A Computer Structure and Function B 42 43 44 Fundamentals of Computer and Networks UNIT 2 A Interfaces to External Signals and Devices B The Applications of Computers 46 UNIT 3 A PLC Overview B PACs for Industrial Control, the Future of Control 1 UNIT 4 A Fundamentals of Single-chip Microcomputer B Understanding DSP and Its Uses 49 UNIT 5 A A First Look at Embedded Systems B Embedded Systems Design PART 4 UNIT 1 Process Control A A Process Control System 50 B Fundamentals of Process Control 53 52 UNIT 2 A Sensors and Transmitters B Final Control Elements and Controllers UNIT 3 A P Controllers and PI Controllers B PID Controllers and Other Controllers UNIT 4 A Indicating Instruments B Control Panels PART 5 UNIT 1 Control Based on Network and Information A Automation Networking Application Areas B Evolution of Control System Architecture UNIT 2 A Fundamental Issues in Networked Control Systems B Stability of NCSs with Network-induced Delay UNIT 3 A Fundamentals of the Database System B Virtual Manufacturing—A Growing Trend in Automation UNIT 4 A Concepts of Computer Integrated Manufacturing B Enterprise Resources Planning and Beyond PART 6 UNIT 1 Synthetic Applications of Automatic Technology A Recent Advances and Future Trends in Electrical Machine Drivers B System Evolution in Intelligent Buildings UNIT 2 A Industrial Robot B A General Introduction to Pattern Recognition UNIT 3 A Renewable Energy B Electric Vehicles 2 UNIT 1 A

电路 电路或电网络由以某种方式连接的电阻器,电感器和电容器等元件组成。如果网络不包含能源,如电池或发电机,那么就被称作无源网络。换句话说,如果存在一个或多个能源,那么组合的结果为有源网络。在研究电网络的特性时,我们感兴趣的是确定电路中的电压和电流。因为网络由无源电路元件组成,所以必须首先定义这些元件的电特性。就电阻来说,电压-电流的关系由欧姆定律给出,欧姆定律指出:电阻两端的电压等于电阻上流过的电流乘以电阻值。在数学上表达为: u=iR (1-1A-1)式中 u=电压,伏特;i =电流,安培;R =电阻,欧姆。纯电感电压由法拉第定律定义,法拉第定律指出:电感两端的电压正比于流过电感的电流随时间的变化率。因此可得到:U=Ldi/dt 式中 di/dt =电流变化率,安培/秒; L =感应系数,享利。电容两端建立的电压正比于电容两极板上积累的电荷 q 。因为电荷的积累可表示为电荷增量 dq 的和或积分,因此得到的等式为 u=,式中电容量 C 是与电压和电荷相关的比例常数。由定义可知,电流等于电荷随时间的变化率,可表示为 i = dq/dt。因此电荷增量 dq 等于电流乘以相应的时间增量,或 dq = i dt,那么等式(1-1A-3)可写为式中 C =电容量,法拉。

PART 1 Electrical and Electronic Engineering Basics UNIT 1 A UNIT 2 A UNIT 3 A UNIT 4 A UNIT 5 A UNIT 6 A UNIT 7 A Electrical Networks ———————————— 3 B Three-phase Circuits The Operational Amplifier ——————————— 5 Logical Variables and Flip-flop —————————— 8 Power Semiconductor Devices —————————— 11 Types of DC Motors —————————————15 AC Machines ———————————————19 Electric Power System ————————————22 B Transistors B Binary Number System B Power Electronic Converters B Closed-loop Control of DC Drivers B Induction Motor Drive B Power System Automation PART 2 Control Theory UNIT 1 A B UNIT 2 A UNIT 3 A UNIT 4 A The World of Control ————————————27 Stability and the Time Response ————————— 30 The Root Locus ————————————— 32 The Transfer Function and the Laplace Transformation —————29 B Steady State————————————————— 31 B The Frequency Response Methods: Nyquist Diagrams ————— 33 The Frequency Response Methods: Bode Piots ————— 34 B Nonlinear Control System 37 UNIT 5 A Introduction to Modern Control Theory B B B PART 3 B B B State Equations Optimum Control Systems Artificial Neural Network Computer Control Technology 42 43 44 Fundamentals of Computer and Networks The Applications of Computers 46 40 38 UNIT 6 A Controllability, Observability, and Stability UNIT 7 A Conventional and Intelligent Control UNIT 1 A Computer Structure and Function UNIT 2 A Interfaces to External Signals and Devices UNIT 3 A PLC Overview PACs for Industrial Control, the Future of Control 1 UNIT 4 A Fundamentals of Single-chip Microcomputer 49 B B PART 4 B B B B PART 5 B B B B PART 6 Understanding DSP and Its Uses Embedded Systems Design Process Control 50 52 53 Fundamentals of Process Control UNIT 5 A A First Look at Embedded Systems UNIT 1 A A Process Control System UNIT 2 A Sensors and Transmitters Final Control Elements and Controllers PID Controllers and Other Controllers Control Panels Control Based on Network and Information Evolution of Control System Architecture Stability of NCSs with Network-induced Delay Virtual Manufacturing—A Growing Trend in Automation Enterprise Resources Planning and Beyond Synthetic Applications of Automatic Technology UNIT 3 A P Controllers and PI Controllers UNIT 4 A Indicating Instruments UNIT 1 A Automation Networking Application Areas UNIT 2 A Fundamental Issues in Networked Control Systems UNIT 3 A Fundamentals of the Database System UNIT 4 A Concepts of Computer Integrated Manufacturing UNIT 1 A Recent Advances and Future Trends in Electrical Machine Drivers B B B System Evolution in Intelligent Buildings A General Introduction to Pattern Recognition Electric Vehicles UNIT 2 A Industrial Robot UNIT 3 A Renewable Energy 2 UNIT 1 A

电路 电路或电网络由以某种方式连接的电阻器,电感器和电容器等元件组成。如果网络不包含能源,如电池或发电机,那么就被称作无源网络。换句话说,如果存在一个或多个能源,那么组合的结果为有源网络。在研究电网络的特性时,我们感兴趣的是确定电路中的电压和电流。因为网络由无源电路元件组成,所以必须首先定义这些元件的电特性。就电阻来说,电压-电流的关系由欧姆定律给出,欧姆定律指出:电阻两端的电压等于电阻上流过的电流乘以电阻值。在数学上表达为: u=iR (1-1A-1)式中 u=电压,伏特;i =电流,安培;R =电阻,欧姆。纯电感电压由法拉第定律定义,法拉第定律指出:电感两端的电压正比于流过电感的电流随时间的变化率。因此可得到:U=Ldi/dt 式中 di/dt =电流变化率,安培/秒; L =感应系数,享利。电容两端建立的电压正比于电容两极板上积累的电荷 q 。因为电荷的积累可表示为电荷增量 dq 的和或积分,因此得到的等式为 u=,式中电容量 C 是与电压和电荷相关的比例常数。由定义可知,电流等于电荷随时间的变化率,可表示为 i = dq/dt。因此电荷增量 dq 等于电流乘以相应的时间增量,或 dq = i dt,那么等式(1-1A-3)可写为式中 C =电容量,法拉。

By employing the local Lipschitz condition and Picard sequence, the local existence-uniqueness of solutions of stochastic functional differential equations of Ito-type is firstly obtained. Furthermore, a continuation theorem for stochastic functional differential equations of Ito-type is given by using stochastic analysis technique and the quasi-boundedness condition. Finally, by establishing some delay differential inequalities and using properties of H_m-functions, a stochastic version of Wintner theorem and the global existence-uniqueness of solutions of stochastic functional differential equations of Ito-type are given. The results generalize the earlier publications.

首先,利用局部Lipschitz条件和Picard序列,获得了伊藤随机泛函微分方程解的局部存在唯一性;其次,利用随机分析技巧和拟有界条件,建立了伊藤随机泛函微分方程解的延拓定理;最后,通过建立一些时滞微分不等式和利用H_m-函数的特性,得到了Wintner定理的随机版本和伊藤随机泛函微分方程解的全局存在唯一性,推广了已有的一些结果。

Based on the information-scheduling models and time-delay models of networked control system, state-estimate-based and parity-relation-based fault diagnosis approaches and passive fault-tolerant control such as integrity control for networked control systems are presented; 2 we presented new models, Quasi T-S models, for linear and nonlinear networked control systems with random time delays, and the corresponding fault diagnosis and fault-tolerant control approaches; 3 With all these fault diagnosis theory presented, active fault tolerant control approaches are developed directly for networked control systems; 4 Some analysis, design and optimization theory for networked control systems are presented., such as robust control, LQ guaranteed cost control, modeling and control for stochastic networked control and integrated optimization etc.

给出了诸如网络化控制系统的鲁棒控制、LQ保成本控制、联合优化设计、随机网络化控制系统的建模与控制等方面的结果。

Chapter 5 deals with the solvable theorem of adaptive inverse optimal control problems for a class of stochastic nonlinear systems driven by Wiener noises of unknown covariance. The systems are depicted by It〓 stochastic differential equations. By using an adaptive backstepping algorithm and stochastic control Lyapunov functions, the designing procedure of control laws of global asymptotic stability in probability and adaptive inverse optimal stabilization in probability are presented systematically. Adaptive control laws and parameter update laws can be obtained at the same time by this design scheme.

在第5章中,针对具有方差不确定Wiener噪声扰动和未知定常参数的随机非线性系统(假设方差的F—范数是一个常数或一个缓慢变化的量,对其进行在线辨识),给出并证明了自适应逆最优控制问题可解定理,基于随机Lyapunov定理和It〓微分规则,采用自适应Backstepping设计方法,系统地设计了全局依概率渐近稳定和自适应逆最优控制策略,这种设计方法可同时获得控制策略和自适应律,计算机数值仿真结果表明该控制算法是有效性的。

Unit 22 400vac low voltage distribution pen busbar unit 22 400vac low voltage distribution cubicle lighting.plug and heating unit 22 400vac low voltage distribution measuring and ac-distribution unit 22 400vac low voltage distribution 220vdc control2 unit 22 400vac low voltage distribution control circuit breaker unit 22 400vac low voltage distribution automatic interconnection2 unit 22 device list unit 22 400vac low voltage distribution cubicle lighting.plug anh heating unit 22 400vac low voltage distribution ac/dc supply control unit 22 400vac low voltage distribution cb supply 1 control unit 22 400vac low voltage distribution cb coupling control unit 22 400vac low voltage distribution cb supply 2 control unit 22 400vac low voltage distribution cb supply 1 control unit 22 400vac low voltage distribution control unit 22 400vac low voltage distribution high pressure pump.bearing de control unit 22 400vac low voltage distribution stillstand heaters control control unit 22 400vac low voltage distribution oil mist suction device de control unit 22 400vac low voltage distribution h press pu.bearing de stand-by control unit 22 400vac low voltage distribution oil mist suction device nde control unit 22 400vac low voltage distribution indication unit 22 400vac low voltage distribution automatik input unit 22 400vac low voltage distribution circuit diageam unit…400vac low voltage distribution front view unit…400vac low voltage distribution inside view unit…400vac low voltage distribution cubicle view gauge board cover sheet gauge board front view gauge board inside layout gauge board fower supply gauge board cubicle lighting/heating gauge board 24vdc distributidn gauge board fault indication lamps gauge board fault messages to control gauge board temperatures thrust bearing gauge board temperatures de/nde guiide bearing gauge board temperatures de/nde bearing oil reservoir gauge board temperatures cold air from coolers gauge board display temperatures cooler 1-10 gauge board display temperatures cooler 11-20 gauge board temperatures hot air from coolers gauge board display tem.

单位 22 400 vac 低的电压分配钢笔 busbar单位 22 400 vac 低的电压分配小卧室 lighting.plug 和暖气单位 22 400 vac 低的电压分配测定和 ac-分配单位 22 400 vac 低的电压分配 220 vdc control2单位 22 400 vac 低的电压分配控制线路断路器单位 22 400 vac 低的电压分配自动机械 interconnection2单位 22本装置目录单位 22 400 vac 低的电压分配小卧室 lighting.plug anh 暖气单位 22 400 vac 低的电压分配 ac/直流补给控制单位 22 400 vac 低的电压分配 cb 补给 1 控制单位 22 400 vac 低的电压分配 cb 联结控制单位 22 400 vac 低的电压分配 cb 补给 2 控制单位 22 400 vac 低的电压分配 cb 补给 1 控制单位 22 400 vac 低的电压分配控制单位 22 400 vac 低的电压分配高度强迫 pump.bearing de 控制单位 22 400 vac 低的电压分配 stillstand 加热器控制控制单位 22 400 vac 低的电压分配油雾吸装置 de 控制单位 22 400 vac 低的电压分配 h 杂志报纸 pu.bearing de 台子-被控制单位 22 400 vac 低的电压分配油雾吸装置 nde 控制单位 22 400 vac 低的电压分配指示单位 22 400 vac 低的电压分配 automatik 输入单位 22 400 vac 低的电压分配线路 diageam单位…400休假低的电压分配前面视野单位…400休假低的电压分配内部看单位…400休假低的电压分配小卧室视野精确计量董事会掩护张精确计量董事会比较前面的视野标准度量在地面区划之内搭乘标准度量董事会 fower 补给标准度量董事会小卧室照明/暖气标准度量董事会 24 vdc distributidn标准度量董事会过失指示灯精确计量董事会过失信息控制标准度量董事会温度插入了举止标准度量董事会温度 de/ nde guiide 举止生的标准度量董事会温度 de/ nde 涂油水于水库标准度量董事会来自冷却器的温度冷空气精确计量董事会展览温度冷却器 1-10精确计量董事会展览温度冷却器 11-20标准度量董事会来自冷却器的温度热气精确计量董事会展览 tem。

According to the statistic analysis of Prof. Amari on static recognition with neural networks, and introducing the concept of vector position stochastic variable of vector stochastic sequence, the stochastic variable is processed by DRNN. The relationship between input and output variance is analyzed. The stochastic analysis of dynamic identification is given, so as to explain the DRNN characteristics in recognition process.

第二,根据Amari教授对神经网络静态识别时的统计分析,引入矢量随机序列的矢量位置随机变量的概念,以该随机变量经过DRNN处理后,分析其输入与输出方差之间的关系,试给出了DRNN做动态识别时的统计分析,以从理论上说明DRNN在识别过程中的特性。

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