Description: 现代信号处理MATLAB的工程文件,有助于现代信号处理学习-modern signal processing MATLAB works documents, help learning modern signal processing Platform: |
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Author:王冰 |
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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: 自己编写的自适应滤波算法的应用,应用于惯性导航系统初始对准中,静止基座-I have written the application of adaptive filtering algorithm used in inertial navigation system in the initial alignment, static base Platform: |
Size: 505856 |
Author:gaoxu |
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Description: 实现了1D,2D,3D空间自由度下的运动参数的扩展Kalman滤波算法,文章2008 IROS Visual SLAM for 3D Large-Scale Seabed Acquisition Employing Underwater Vehicles的具体实现。-a novel technique to align
partial 3D reconstructions of the seabed acquired by a stereo
camera mounted on an autonomous underwater vehicle. Vehicle
localization and seabed mapping is performed simultaneously
by means of an Extended Kalman Filter. Passive landmarks
are detected on the images and characterized considering 2D
and 3D features. Landmarks are re-observed while the robot
is navigating and data association becomes easier but robust.
Once the survey is completed, vehicle trajectory is smoothed by
a Rauch-Tung-Striebel filter obtaining an even better alignment
of the 3D views and yet a large-scale acquisition of the seabed. Platform: |
Size: 274432 |
Author:Li Yanli |
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Description: Robust Model Following Load Frequency Sliding
Mode Controller Based on UDE and Error
Improvement with Higher Order Filter Platform: |
Size: 848896 |
Author:hacen |
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Description: 维纳滤波,语音处理程序,MATLAB,下载自国外网站,与君共享。-Wiener filter, speech processing, MATLAB, download from the foreign site, and the king shared. Platform: |
Size: 1516544 |
Author:hyguo |
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Description: 在含出差的粒子滤波中加入不同权函数,分析基于何种权函数的粒子滤波更为可用-The Comparative Study Based On Robust Particle Filter of Different Weight Function Platform: |
Size: 7168 |
Author:sui |
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Description: 这本书提供了坚实的介绍卡尔曼滤波的理论和实践方面的读者。它已经更新了卡尔曼滤波,包括适应非线性滤波,更可靠的平滑方法,并在导航应用程序开发的实施和应用的最新发展。所有的软件是在MATLAB中,提供给读者的机会,发现如何卡尔曼滤波行动,并考虑实际运算需要保持结果的准确性。-This book provides readers with a solid introduction to the theoretical and practical aspects of Kalman filtering. It has been updated with the latest developments in the implementation and application of Kalman filtering, including adaptations for nonlinear filtering, more robust smoothing methods, and developing applications in navigation. All software is provided in MATLAB, giving readers the opportunity to discover how the Kalman filter works in action and to consider the practical arithmetic needed to preserve the accuracy of results. Platform: |
Size: 3176448 |
Author:luaw2006 |
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Description: Developing an Isolated Word Recognition System
in MATLAB.
Speech-recognition technology is embedded in voice-activated routing systems
at customer call centres, voice dialling on mobile phones, and many other
everyday applications. A robust speech-recognition system combines accuracy
of identification with the ability to filter out noise and adapt to other acoustic
conditions, such as the speaker’s speech rate and accent. Designing a robust
speech-recognition algorithm is a complex task requiring detailed knowledge of
signal processing and statistical modeling. Platform: |
Size: 670720 |
Author:fasterfox |
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Description: This book provides readers with a solid introduction to the theoretical and practical aspects of Kalman filtering. It has been updated with the latest developments in the implementation and application of Kalman filtering, including adaptations for nonlinear filtering, more robust smoothing methods, and developing applications in navigation. All software is provided in MATLAB, giving readers the opportunity to discover how the Kalman filter works in action and to consider the practical arithmetic needed to preserve the accuracy of results. Platform: |
Size: 3177472 |
Author:anna |
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Description: 机电传感器通常用于获取转子位置/速度的内置式永磁同步电机( IPMSMs )的高性能控制
车辆系统。然而,使用这些传感器中的增加的成本,尺寸,重量,布线复杂性并减少了IPMSM驱动系统的机械鲁棒性。这些问题连同
一些实用的要求,例如,调速范围广,极端
环境温度和不利的负载条件下,使传感器控制方案可取。本文提出了一种扩展的反电动势( EMF )为基础的滑模
转子位置观测器IPMSMs的无传感器矢量控制。
基于滤波器的特性,一个强大的补偿算法的开发,以改善滑动方式观测器(SMO)的性能。多级滤波器和双滤波器的计划被设计的补偿算法,以进一步改善稳态和瞬态性能,分别。建议SMO和补偿算法通过在MATLAB的Simulink仿真,以及对实验进行验证
实用的永磁同步电动机驱动系统-Electromechanical sensors are commonly used to obtain rotor position/speed for high-performance control of interior permanent magnet synchronous machines (IPMSMs) in
vehicle systems. However, the use of these sensors increases the cost, size, weight, wiring complexity and reduces the mechanical robustness of IPMSM drive systems. These issues, together with
some practical requirements, e.g., wide speed range, extreme
environment temperature, and adverse loading conditions, make a sensorless control scheme desirable. This paper proposes an extended back electromotive force (EMF)-based sliding mode
rotor position observer for sensorless vector control of IPMSMs.
Based on filter characteristics, a robust compensation algorithm is developed to improve the performance of the sliding-mode observer (SMO). Multistage-filter and dual-filter schemes are designed to further improve the steady-state and transient performance, respectively, of the compensation algorithms. The proposed SMO and c Platform: |
Size: 1332224 |
Author:zhangyunlong |
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Description: 实现鲁棒的SIFT特征匹配,包括画中画匹配,matlab调用了C中的一些函数如高斯滤波等-Achieve robust SIFT feature matching, including picture-matching, matlab call C functions such as some of the Gaussian filter, etc. Platform: |
Size: 3586048 |
Author:caixiuxia |
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Description: 这是一个关于GP-ADF和GP-RTSS的工具箱,主要基于“Robust Filtering and Smoothing with Gaussian Processes这篇文章-This software package provides a Matlab implementation of the GP-ADF and the GP-RTSS as described in
Marc Peter Deisenroth, Ryan Turner, Marco F. Huber, Uwe D. Hanebeck, Carl Edward Rasmussen:
Robust Filtering and Smoothing with Gaussian Processes
in IEEE Transactions on Automatic Control (2012)
The software package also contains implementations of the following filters/smoothers:
- GP-ADF/GP-RTSS
- Gibbs-filter/Gibbs-RTSS [Deisenroth and Ohlsson, ACC 2011]
- EKF/EKS
- UKF/URTSS
- CKF/CKS
We provide a demo script:
demo_gprtss.m
The code requires MatlabR2007a or newer.
(C) Copyright 2012 by Marc Deisenroth
Permission is granted for anyone to copy, use, or modify this
software and accompanying documents for any uncommercial
purposes, provided this copyright notice is retained, and note is
made of any changes that have been made. This software and
documents are distributed without any warranty.
I d appreciate any feedback on the code (useful, buggy, ine Platform: |
Size: 32768 |
Author:李 |
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Description: 系统论述了滑模变结构控制的基本理论、基本方法和应用技术,并全部给出了MATLAB仿真分析。全书内容涵盖了滑模变结构控制发展综述、连续系统滑模控制、自适应鲁棒滑模控制、欠驱动系统滑模控制、反演及动态面滑模控制、基于滤波器及观测器的滑模控制、离散系统滑模控制、模糊滑模控制、神经滑模控制和机械手滑模控制等。-The basic theory, basic method and application technology of sliding mode variable structure control are discussed systematically, and all MATLAB simulation analysis is given. The book covers the development of sliding mode variable structure control, continuous system sliding mode control, adaptive robust sliding mode control, underactuated system sliding mode control, inversion and dynamic surface sliding mode control, based on the filter and observer sliding Mode control, sliding mode control of discrete systems, fuzzy sliding mode control, neural sliding mode control and manipulator sliding mode control. Platform: |
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Author:liushengqiang |
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Description: 包含基于Huber函数和最大相关熵的抗差滤波算法,以及与卡尔曼滤波算法的对比,用于GNSS导航定位粗差处理。同时主函数中包含混合高斯随机数生成方法。(The Huber function and maximum correntropy criterion based robust Kalman filter is included, which can be used for biases in measurements for GNSS positioning. The mixed Gaussian distribution data generation function is also included in the main function.) Platform: |
Size: 585728 |
Author:殷利建 |
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