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Description: 俄亥俄州立大学滑模控制创始人Utkin教授最经典的一篇文章 滑模控制的奠基性文章-sliding Ohio State University Professor Lev control of the founders of a classic article sliding control of the foundation an article
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Size: 1071123 |
Author: 赵思明 |
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Description: Carrier-phase synchronization can be approached in a
general manner by estimating the multiplicative distortion (MD) to which
a baseband received signal in an RF or coherent optical transmission
system is subjected. This paper presents a unified modeling and
estimation of the MD in finite-alphabet digital communication systems. A
simple form of MD is the camer phase exp GO) which has to be estimated
and compensated for in a coherent receiver. A more general case with
fading must, however, allow for amplitude as well as phase variations of
the MD.
We assume a state-variable model for the MD and generally obtain a
nonlinear estimation problem with additional randomly-varying system
parameters such as received signal power, frequency offset, and Doppler
spread. An extended Kalman filter is then applied as a near-optimal
solution to the adaptive MD and channel parameter estimation problem.
Examples are given to show the use and some advantages of this scheme.
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Size: 827601 |
Author: 吴大亨 |
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Description: 俄亥俄州立大学滑模控制创始人Utkin教授最经典的一篇文章 滑模控制的奠基性文章-sliding Ohio State University Professor Lev control of the founders of a classic article sliding control of the foundation an article
Platform: |
Size: 1071104 |
Author: 赵思明 |
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Description: Carrier-phase synchronization can be approached in a
general manner by estimating the multiplicative distortion (MD) to which
a baseband received signal in an RF or coherent optical transmission
system is subjected. This paper presents a unified modeling and
estimation of the MD in finite-alphabet digital communication systems. A
simple form of MD is the camer phase exp GO) which has to be estimated
and compensated for in a coherent receiver. A more general case with
fading must, however, allow for amplitude as well as phase variations of
the MD.
We assume a state-variable model for the MD and generally obtain a
nonlinear estimation problem with additional randomly-varying system
parameters such as received signal power, frequency offset, and Doppler
spread. An extended Kalman filter is then applied as a near-optimal
solution to the adaptive MD and channel parameter estimation problem.
Examples are given to show the use and some advantages of this scheme.
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Size: 827392 |
Author: 吴大亨 |
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Description: 在一种变步长LMS 算法的基础上,引进动量因式,提出了一种新的改进LMS 的算法。新算法整体性能优
于变步长LMS 算法以及LMS 算法。通过理论分析,比较了新的算法和变步长LMS 算法以及LMS 算法的收敛性
和稳态性,提出了一种设想以提高新算法的稳态性。仿真试验证明了新算法的优越性以及设想的在仿真条件下的正
确性。-In a variable step size LMS algorithm, based on the introduction of momentum factor, a new improvement of LMS algorithms. The overall performance of the new algorithm is superior to variable step size LMS algorithm and LMS algorithm. Through theoretical analysis, comparing the new algorithm and variable step size LMS algorithm and LMS algorithm convergence and steady-state, and proposes a new algorithm is envisaged to enhance the steady-state nature. Simulation tests proved the superiority of the new algorithm, as well as envisaged under the conditions in the simulation is correct.
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Size: 139264 |
Author: 王勇 |
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Description: Spacecraft Attitude Dynamics and Control 航天器姿态控制的课件,十分难得;内容通俗易懂;十分完整;是从事航天研究的必须知识-Spacecraft Attitude Dynamics and Control of Spacecraft Attitude Control courseware, very rare the content of user-friendly very integrity is engaged in space research must be knowledge
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Size: 3743744 |
Author: 临风 |
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Description: 自由始端和终端的动态规划,求指标函数最小值的逆序算法递归
% 计算程序。x是状态变量,一列代表一个阶段状态;M-函数
% DecisFun(k,x)由阶段k的状态变量x求出相应的允许决策变量
% M-函数ObjFun(k,x,u)是阶段指标函数,M-函数TransFun(k,x,u)
% 是状态转移函数,其中x是阶段k的某状态变量,u是相应的决策变量;
% 输出p_opt由4列构成,p_opt=[序号组 最优策略组 最优轨线组
% 指标函数值组];fval是一个列向量,各元素分别表示p_opt各
% 最优策略组对应始端状态x的最优函数值;
%-Start a free client and terminal dynamic programming, and the reverse indicator function of the minimum calculation algorithm recursive. x is the state variable, a state on behalf of a stage M-function DecisFun (k, x) by the phase k of state variable x obtained the permission of the corresponding decision variable M-function ObjFun (k, x, u) is the phase indicator function, M-function TransFun (k, x, u) is the state transition function, x is the phase in which a k state variables, u is the corresponding decision variable output p_opt from 4 poses, p_opt = [serial number of group Optimal Strategy Group Group optimal trajectory indicator function value group] fval is a column vector, each element of the, respectively, the optimal strategy p_opt group before the end of the corresponding optimal state function x
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Size: 2048 |
Author: haiyan |
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Description: 卡尔曼滤波程序,两变量滤波;正弦信号跟踪;卡尔曼差分到状态方程的转换;卡尔曼同滑动平均比较-Kalman filtering process, the two variable filter sinusoidal signal tracking Kalman differential equation of state of the conversion Kalman compared with moving average
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Size: 5120 |
Author: 姚赛金 |
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Description: The software is capable to simulate space time code [1] for QPSK modulation using different number of state. Examples of generator matrix up to 256 stetes are provided. Variable signal to noise ratio (SNR) might be applied to produce bit error rate (BER) or frame error rate (FER) curves.-The software is capable to simulate space time code [1] for QPSK modulation using different number of state. Examples of generator matrix up to 256 stetes are provided. Variable signal to noise ratio (SNR) might be applied to produce bit error rate (BER ) or frame error rate (FER) curves.
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Size: 10240 |
Author: zhouyu |
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Description: 为了更充分的利用CPU,必须管理好进程内及进程间的调度关系,此实验就是模拟进程之间的调度方法。在实验中,只模拟了3个状态之间的调度过程,为了便于观察调度过程,我采用手动操作方式(即根据操作者输入的命令来做相应的转换)。在程序中,为进程建议一个结构体,以这种类型建立一个数组,用了存储所有进程信息;同时建议了两个先进先出的对列(ready,blocked)用来存储当前就绪的进程和等待资源的进程(在程序中这两个队列只是存储了进程在存储进程的数组的下标,用下标来作为唯一标识且访问,但是不是pid)。对列是自己写的结构,用一个数组来实现队列,其实是实现了循环队列。在用一个变量running(int)来表示当前运行的进程(当然,这里也是进程数组的下标)。当进程调度时,其进程状态也相应改变,只是对两个队列和running的操作,同时改变该进程的状态(state)。
关键字:操作系统 进程调度
-In order to more fully use the CPU, must manage the process and the process of scheduling inter-relations, this experiment is to simulate the process of scheduling between the methods. In the experiment, only three state simulation of the activation process between, in order to facilitate observation of the activation process, I used manual mode of operation (that is, operator input in accordance with an order to do the conversion). In the procedure for the process to recommend a structure to set up an array of this type, with all the process of information storage also proposed for two out of the FIFO (ready, blocked) used to store the current process in place and the process of waiting for resources (in the process the two queues is stored in the storage process, the process of array subscript, used as a subscript uniquely identify and access, but not a pid). To write out the structure of their own, using an array to achieve the queue is a queue cycle. Using a variable in the runnin
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Size: 1136640 |
Author: white Snow |
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Description: 做过任务系统吗?里面用到的检测任务状态的变量,也许你用INT 或 SHORT 或BOOL
可我用的是BYTE 看谁的效率高!-Mission Systems has done it? Detection task used inside a state variable, perhaps you SHORT or INT or BOOL I used to see who is the efficiency of high-BYTE!
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Size: 1230848 |
Author: 李金峰 |
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Description: INPUT:
xx state variable and delayed state variables columnwise
par list of parameter values
nx empty or list of requested state-derivatives (numbers of delay or zero)
np empty or list of requested parameter-derivatives
v matrix to multiply result with
OUTPUT:
J result of derivatives on righthandside multiplied with v- INPUT:
xx state variable and delayed state variables columnwise
par list of parameter values
nx empty or list of requested state-derivatives (numbers of delay or zero)
np empty or list of requested parameter-derivatives
v matrix to multiply result with
OUTPUT:
J result of derivatives on righthandside multiplied with v
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Size: 1024 |
Author: khosro |
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Description: < 控制系统计算机辅助设计--MATLAB语言与应用>>系统地介绍了国际控制界最流行的控制系统计算机辅助设计语言MATLAB,侧重于介绍MATLAB语言编程基础与技巧、数学问题的MATLAB求解、线性系统计算机辅助分析、控制系统与其他复杂系统的Simulink建模,控制系统的计算机辅助设计方法,包括串联控制器、状态反馈控制器、多变量系统频域设计、PID控制器设计、最优控制器设计、LQG/LTR控制器设计、H2=H1 最优控制、分数阶控制、自适应控制、模糊控制、神经网络控制、遗传算法优化控制等。本电子文档为其源码光盘内容,源码多多,利于学习参考。-"" Control System for Computer-Aided Design- MATLAB language and application of "" a systematic introduction to the international control of world s most popular computer-aided control system design language MATLAB, introduced the MATLAB language programming focusing on the foundation and skills, the MATLAB mathematical problem solving, computer-aided analysis of linear systems, control systems and other complex systems Simulink modeling, control system, computer-aided design methods, including serial controller, state feedback controller, multi-variable system, frequency-domain design, PID controller design, optimal controller design, LQG/LTR controller design, H2 = H1 optimal control, fractional order control, adaptive control, fuzzy control, neural network control, genetic algorithm to optimize control. This electronic document its source code CD-ROM content, source code lot, conducive to learning for reference.
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Size: 2137088 |
Author: 任勇 |
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Description: 结合了粒子滤波器和UKF滤波器的优点而用来估测一维状态变量的估测算法-A combination of particle filters and the advantages of the UKF filter is used to estimate the one-dimensional state variable of the estimation algorithm
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Size: 1024 |
Author: zhengjingjing |
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Description: 数字信号处理,离散时间系统的相位、结构与状态变量描述典型题,能更好的理解离散时间系统-Digital signal processing, discrete-time systems the phase, structure and state-variable description of a typical question, can a better understanding of discrete-time systems
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Size: 350208 |
Author: cindy |
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Description: 涡街流量计数字信号处理系统的改进与实验
本文针对涡街流量计数字信号处理系统存在的不能测量小流量和易受电磁干扰的问题,对其软硬件方面进行了
改进。重新设计和研制了电荷放大器,提高了灵敏度,增强了适配能力。采取了合理的接地和屏蔽措施,提高了系统的抗干
扰能力。采用去均值和频谱校正的方法,改善了系统的测量精度。编制键盘监控软件,采用状态变量法设计键值分析程序,
实现人机对话功能。进行了液体流量和气体流量的标定实验,结果表明,改进后的数字信号处理系统比常规的流量计信号处
理系统的测量精度高、流程比宽和适配能力强。-Vortex Flowmeter digital signal processing system improvements and experimental
In this paper, vortex flowmeter digital signal processing systems can not exist in measuring small flows and vulnerable to electromagnetic interference problems, its hardware and software aspects of the
Improvement. To re-design and development of the charge amplifier, increasing sensitivity and enhanced adaptive capacity. Adopted a reasonable grounding and shielding measures to improve the system s anti-stem
Interference capability. Used to mean and spectral correction methods to improve the system s measurement accuracy. The preparation of keyboard monitoring software, using state-variable method designed to key analytical procedures,
Functions to achieve human-machine dialogue. Were liquid flow and gas flow calibration experiments, the results show that the improved digital signal processing systems than the conventional flow meter signal at
Management System s high accuracy, process than the w
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Author: 别问 |
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Description: We are using parameters is the test bench and passing them to the state machine using parameter passing
We are using tasks to control the flow of the testbench
We are using hierarchical naming to access the state variable in the state machine from the test bench.
Finally we are using test bench messages which allow us to monitor the current state from the simulation waveform viewer (assuming we change the bus radix of the message to ascii.
-We are using parameters is the test bench and passing them to the state machine using parameter passing
We are using tasks to control the flow of the testbench
We are using hierarchical naming to access the state variable in the state machine from the test bench.
Finally we are using test bench messages which allow us to monitor the current state from the simulation waveform viewer (assuming we change the bus radix of the message to ascii.
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Size: 1024 |
Author: dhanagopal |
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Description: A brief code to calculate the state variable feedback controller gain and the observer gain
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Author: martin |
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Description: To model the robot position we wish to know its x and y coordinates and its
orientation. These three parameters can be combined into a vector called a state
variable vector. The robot uses beacon distance and angle measurements and
locomotion information about how far it has walked to calculate its position. As with
any real system, these measurements include a component of error (or noise). If
trigonometry is used to calculate the robot s position it can have a large error and
can change significantly from frame to frame depending on the measurement at the
time. This makes the robot appear as if it is "jumping" around the field. The Kalman
Filter is a smarter way to integrate measurement data into an estimate by
recognising that measurements are noisy and that sometimes they should ignored
or have only a small effect on the state estimate.
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Size: 366592 |
Author: mohamed |
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Description: 两变量卡尔曼跟踪状态 只有一个观测结果,可同时获得多个状态变量 噪音可以是时变的,同时改变R Q看结果的不同-Two variables Kalman tracking state is only one observation can also get more state variable noise can be time-varying, while changing the RQ to see the results of different
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Size: 58368 |
Author: 刘建 |
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