Description: This paper addresses the issues relating to the
enforcement of robust stability when implementing the Adaptive
Inverse Control (AIC) scheme. In this scheme, an adaptive
FIR filter is added to a closed-loop system in order to
reduce the output error caused by external disturbances,
enhancing the performance achieved by linear time-invariant
controllers alone.-This paper addresses the issues relating to theenforcement of robust stability when implementing the AdaptiveInverse Control (AIC) scheme. In this scheme, an adaptiveFIR filter is added to a closed-loop system in order toreduce the output error caused by external disturbances, enhancing the performance achieved by linear time-invariantcontrollers alone. Platform: |
Size: 421888 |
Author:rifer |
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Description: 机动目标的跟踪问题一直是人们研究的重点，实现机动目标精确跟踪，首要解决的问题就是使所建立的目标运动模型与实际的目标运动模型匹配。目前常用的有多模型(MM)，交互式多模型(IMM)，切换模型等。多模型方法就是对一组具有不同机动模型分别进行Kalman滤波，最终的参数估计是各滤波器估计值的加权和；在多模型基础上，Shalom提出了交互式多模型方法，这一方法对无序目标的机动检测，显示了更好的鲁棒性和跟踪的稳定性；切换模型则是分别建立机动和非机动运动模型，利用机动检测实现在这两个模型之间的切换。一般来说，交互式多模型的跟踪性能较好。-mobile target tracking problem has been a focus of research and achieve precise maneuvering target tracking, the most pressing issue is to enable the establishment of the target model and the actual movement of the target model matching. At present, more commonly used model (MM), interactive multi-model (IMM), switching model. Multi-model approach is a group of different mobile models were Kalman filtering, The final parameter is the estimated value of the filter is estimated weighted; in the multi-model basis, Shalom made the interactive multi-model approach that the objectives of the motor disorder detection, better show the robustness and stability of the track; switching model is set up motorized and non-motorized sports model, the use of mobile testing to achieve in this model between Platform: |
Size: 207872 |
Author:zhangyun |
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Description: 数字信号处理实验详解及MATLAB实现源代码
实验一： 系统响应及系统稳定性
实验二： 时域采样与频域采样
实验三： 用ＦＦＴ对信号作频谱分析
实验四：ＩＩＲ数字滤波器设计及软件实现 实验五： FIR数字滤波器设计与软件实现
实验六： 数字信号处理在双音多频拨号系统中的应用-Detailed experimental digital signal processing and MATLAB source code to achieve the experimental one: the system response and system stability experiment II: time-domain and frequency domain sampling Sampling Three: The FFT of the signal for spectrum analysis experiment four: IIR digital filter design and software Experimental realize Friday: FIR digital filter design and software implementation experiments VI: Digital Signal Processing in DTMF dialing system Platform: |
Size: 333824 |
Author:wangjin |
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Description: 电力系统暂态稳定程序，可以进行暂态稳定计算,Matlab实现界面友好，窗函数法设计一个数字带通FIR滤波器。- Power System Transient Stability Program, can be transient stability, Matlab to achieve user-friendly, A window function design FIR digital band-pass filter. Platform: |
Size: 7168 |
Author:常华 |
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Description: 窗函数法设计一个数字带通FIR滤波器，图像的光流法计算的matlab程序,用谱方法计算流体力学一些流动现象的整体稳定性。- A window function design FIR digital band-pass filter, Image optical flow calculation matlab program, Spectral methods of computational fluid dynamics flow of some of the overall stability of the phenomenon. Platform: |
Size: 7168 |
Author:ifbarj |
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Description: 使用matlab和excel绘制原始数据图，可以一起绘制16通道，也可选择通道创建子图
使用快速傅里叶变化绘制功率谱，并绘制选择的谱估计算法
使用FIR滤波器（非递归型滤波器）获得EEG信号delta, theta, alpha, and beta波段的波形
绘制每一波段的频谱
通过绘制数个通道数据频谱图来评估信号的稳定性
-Use matlab and excel to draw the original data map, you can draw together with 16 channels, you can also choose to create sub-map channel
Use the fast Fourier transform to draw the power spectrum and plot the selected spectral estimation algorithm
The waveforms of the EEG signals delta, theta, alpha, and beta bands are obtained using a FIR filter (non-recursive filter)
Draw the spectrum of each band
The stability of the signal is uated by plotting several channel data spectra Platform: |
Size: 27648 |
Author:吴佳铭 |
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Description: 在安时计量方法的基础上, 采用基于折算库仑效率的卡尔曼滤波算法估计蓄电池荷电状态(SOC),并
将此方法应用于 HEV6580混合动力电动汽车镍氢电池管理系统。系统实现的功能包括: 数据监测、数据显示、CAN
通信、SOC估计、热管理和安全报警。经电池试验台模拟工况试验验证, 电池管理系统各子系统达到设计要求且工
作稳定。改进 SOC估计方法解决了传统安时计量法不能估计初始 SOC、难于准确测量库仑效率的问题, 为电池管
理系统稳定工作提供保证(Based on the counting method, using the Calman filter algorithm converting coulomb efficiency estimation based on state of charge (SOC), and
This method is applied to the Ni MH battery management system of HEV6580 hybrid electric vehicle. The functions of the system include: data monitoring, data display, CAN
Communication, SOC estimation, heat management and security alarm. The battery management system has been verified by the simulation test, and the subsystems of the battery management system meet the design requirements and work.
Make it stable. The improved SOC estimation method to solve the SOC, the initial coulombic efficiency are difficult to measure the traditional ampere hour measurement cannot be estimated for the battery tube
Providing guarantee for the stability of the system) Platform: |
Size: 442368 |
Author:sulong
|
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Search - matlab stability filter