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Adaptive IdentificationAlgorithms of Nonlinear Systems with their Applications

非线性系统自适应辨识算法及其应用

基本信息

批准号：
17560399
负责人：
SANO Akira
金额：
$ 2.37万
依托单位：
Keio University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2005
资助国家：
日本
起止时间：
2005 至 2006
项目状态：
已结题

项目摘要

Identification of a nonlinear system plays an important role in model-based approaches in nonlinear control system design and nonlinear signal processing for wireless communication. The main purpose of the project is to construct and evaluate effective and systematic nonlinear identification algorithms for a specific class of systems to solve complicated modeling issues by formulating them in a nonlinear system identification framework. The results are summarized as follows :(1)A new fully adaptive control scheme is proposed for vibration isolation using a semi-active MR damper installed between ground and first floor, which is composed of two adaptive controllers. One is an adaptive inverse controller which can give necessary input voltage to MR damper so as to generate specified reference damping force acted on a controlled structure. The other is an adaptive reference controller which can match the dynamics of the first floor of structure to a desired reference dynamics. The propose … More d fully adaptive approach can deal with both uncertainties in models of MR damper and structure. The stability of the total system including the two adaptation mechanisms is discussed and the stability conditions are clarified. Experimental results are also shown to validate the effectiveness of the proposed adaptive scheme.(2)Since the information is taken on the complex amplitude in the OFDM transmission, compensation of the nonlinearity of power amplifier is a significant issue. The project proposed the new adaptive predistorter which can compensate for nonlinear distortion as well as can maximize the power efficiency. The new adaptive coupling cancellation algorithm was also proposed in which all of the transmission path dynamics are identified and convergence conditions are clarified.(3)Localization of mobile station in urban multipath environments by using an array antenna is formulated as a new nonlinear parameter identification issue, where the direction and angle spread of scattered sources produced by the station are estimated by the array signal processing, and the source location can also be estimated so that the error between the direction and angle spread calculated by the ray tracing method and those estimated by the array antenna. Its effectiveness was validated by outdoor experiments. Autocalibration of array antenna is also regarded as a nonlinear identification problem, and the idea was applied to Capon method. Detection of the number of correlated signals by array antenna is also investigated and a simple but effective method was proposed based on improvements of QR decomposition. Less

非线性系统的辨识在非线性控制系统设计和无线通信非线性信号处理的基于模型的方法中起着重要作用。该项目的主要目的是为特定类别的系统构建和评估有效且系统的非线性识别算法，通过在非线性系统识别框架中制定它们来解决复杂的建模问题。研究结果如下：(1)提出了一种新的全自适应隔振控制方案，该方案采用安装在地面和一层之间的半主动磁流变阻尼器，该阻尼器由两个自适应控制器组成。一种是自适应逆控制器，它可以向磁流变阻尼器提供必要的输入电压，从而产生作用在受控结构上的指定参考阻尼力。另一个是自适应参考控制器，它可以将第一层结构的动态与所需的参考动态相匹配。所提出的完全自适应方法可以处理磁流变阻尼器和结构模型中的不确定性。讨论了包括两种适应机制的整个系统的稳定性，并阐明了稳定性条件。实验结果也验证了所提出的自适应方案的有效性。(2)由于在OFDM传输中采用复幅度信息，因此功率放大器的非线性补偿是一个重要的问题。该项目提出了新的自适应预失真器，它可以补偿非线性失真，并可以最大限度地提高功率效率。提出了新的自适应耦合对消算法，识别了所有的传输路径动态，并明确了收敛条件。(3)将城市多径环境中使用阵列天线的移动站定位问题表述为一个新的非线性参数辨识问题，其中通过阵列信号处理估计移动站产生的散射源的方向和角展度，从而估计源位置，从而确定移动站的位置。射线追踪法计算的方向和角展与阵列天线估计的方向和角展之间的误差。其有效性通过室外实验得到验证。阵列天线的自动标定也被视为非线性辨识问题，并将这一思想应用于Capon方法中。还研究了阵列天线相关信号个数的检测，并在改进QR分解的基础上提出了一种简单而有效的方法。较少的