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基于CMAC的非线性系统动态辨识，选并联辨识的机构-Based on the CMAC nonlinear system dynamic identification, chooses the parallel identification the organization
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具有输出量测噪声的一阶SISO 系统的辨识-With output measurement noise, a first-order SISO system identification
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利用matlab实现了系统辨识与自适应的仿真-Achieved using matlab simulation of system identification and adaptive
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This project aimed to develop a wireless system to detect and allow only the authorized persons. The system was based on Radio Frequency Identification (RFID) technology and consists of a passive RFID tag. The passive micro transponder tag collects p
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维纳自适应滤波
自适应噪声抵消
自适应谱线增强
自适应系统识别-Wiener adaptive filtering adaptive noise cancellation adaptive system identification adaptive line enhancement
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用于一阶时滞系统的辨识，共有切线法与两点法的程序。经过测试，效果较好，适用于学习系统辨识的初学者。-First-order delay system for identification, a total tangent method and the two law procedures. Tested the effect is good for beginners to learn the system identification.
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This addresses the use of ANFIS function in the Fuzzy Logic Toolbox for nonlinear dynamical system identification. This
also requires the System Identification Toolbox, as a comparison is made between a nonlinear ANFIS and a linear ARX model.
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iv methode system identification
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DC-Motor Simulation and System Identification
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基于神经网络在线辨识的自适应逆振动控制技术。可以有效地应用到非线性系统的控制。-Line identification based on neural network adaptive inverse vibration control technology. Can be effectively applied to nonlinear system control.
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闭环系统辨识的MATLAB源码，对于SISO系统具有良好的辨识效果-Closed-loop system identification of the MATLAB source code for the SISO system has good identification results
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利用lms算法和rls算法，对通过给定系统h的随机信号进行自适应滤波，通过抽头w对系统进行逆辨识与辨识，同时产生MSE 即均方误差，来描述对信号恢复的效果。-Using lms algorithm and rls algorithms h through a given system adaptive filtering of random signals, the system through the tap w reverse identification and recognition,
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预测控制是一种新型的控制算法之一。经典的PID控制方法简单方便,但是精度不高。近年来发展的自适应、自校正方法精度高,但其本质要求在线辨识对象模型,对过程的未建模动态和扰动的适应能力差,鲁棒性不好。预测控制方法集PID和自适应方法二者之长,是一种面向工业过程特点、对模型要求低、在线计算方便、控制精度高的算法。数字计算机向小型、高速、大容量、低成本方向的发展,为预测控制这类新算法的实现提供了物质基础。 本文以PCT—Ⅲ型过程控制系统装置为平台,将预测控制算法运用到实际系统中去,该装置分为水位系统和温
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CUED系统识别工具箱，包括：
1 Subspace identification of linear systems.
2 Subspace identification of bilinear systems-CUED System Identification Toolbox:
1 Subspace identification of linear systems.
2 Subspace identification of bilinear systems
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用kalman算法实现系统辨识，最终实现滤波，具有精度高，收敛快的特点-System identification algorithm using kalman, and ultimately the filter, with high precision, fast convergence characteristics
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接收信号为加噪声的QPSK信号，通过球的维纳解，实现系统辨识，达到滤波的目的。-Received signal is the QPSK signal plus noise, the Wiener solution through the ball, to achieve system identification, to achieve the purpose of filtering.
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Automatic Vehicle Identification (AVI) has many
applications in traffic systems (highway electronic toll collection, red
light violation enforcement, border and customs checkpoints, etc.).
License Plate Recognition is an effective form of AVI s
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应用算法建立模型并编写程序，实现对系统原始函数的识别。程序为对一四阶传递函数的识别，通过修改扫描频率可获得不同趋近原始系统的传递函数。-Applied algorithm model and program, realize the original function of system identification. Procedures for the transfer function of matters order by modifying scan frequency identif
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一阶离散系统基于遗传算法的系统辨识算例，采取轮盘赌法。-First-order discrete systems System identification based on genetic algorithm example, take roulette method.
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产生M序列，可以作为系统的输入，经过系统辨识后得到输出，进而得到系统的传递函数-M sequences generated can be used as the input, output obtained through system identification, and further to the transfer function
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