Intelligent control of nonlinear systems based upon case-based reasoning

基于案例推理的非线性系统智能控制

• 批准号: 08455197
• 负责人: MAEDA Hajime
• 金额: $ 4.42万
• 依托单位: Osaka University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (B)
• 财政年份: 1996
• 资助国家: 日本
• 起止时间: 1996 至 1998
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-08455197/
• 关键词: nonlinear system; wavelet transform; database; feature extraction; nonlinear signal processing; control law; 非線型システム; 非線型信号処理; ウェーブレット変換; 階層符号化

An approach to intelligent control and signal processing based upon case-based reasoning is presented. The wavelet transform is used to extract I/O characteristics of nonlinear plant, and the multiresolution pattern analysis method is applied to distinguish global and local features of the I/O signals. Using a hierarchical image coding technique, the extracted feasters are compressed without any degradation and their efficient storage procedure is designed. A nonlinear adaptive estimation method based on the n-nearest neighbor approach is derived to estimate the output for a query from the I/O data seen so far. Observed I/O data are stored in a database in the form of a k-d trie and a nonlinear local model to answer each query is derived based upon regularization theory. An efficient time-updating scheme of the database contents to follow nonstationary data is derived. A storage procedure allowing a simple and efficient update is developed for reduction in processing time and storage requirement. The effectiveness of the proposed method is demonstrated with both simulation data and real speech signals. Furthermore, an automatic landing system is developed on the basis of a human skill model. The model is expressed as a nonlinear I/O mapping from the aircraft state to the control command provided by a human expert. All the I/O data provided by the human expert are stored in a database a priori, and a local model to answer the current aircraft state is built to generate a control input close to the human operation. A gain adaptation technique is introduced for improving the robustness.

提出了一种基于案例推理的智能控制与信号处理方法。利用小波变换提取非线性对象的I/O信号特征，并利用多分辨模式分析方法区分I/O信号的全局和局部特征。采用分层图像编码技术，对提取的特征进行无损压缩，并设计了有效的存储过程。一个非线性的自适应估计方法的基础上的n-最近邻的方法来估计输出的查询从I/O数据到目前为止。观察到的I/O数据存储在一个数据库中的形式的k-d trie和非线性局部模型来回答每个查询的正则化理论的基础上。一个有效的时间更新计划的数据库内容，以遵循非平稳数据。一个存储过程，允许一个简单而有效的更新，减少处理时间和存储要求。仿真数据和真实的语音信号均表明了该方法的有效性。此外，自动着陆系统的基础上开发的人的技能模型。该模型表示为一个非线性的I/O映射从飞机状态的控制命令提供的人类专家。所有由人类专家提供的I/O数据被先验地存储在数据库中，并且建立响应当前飞机状态的局部模型以产生接近人类操作的控制输入。为了提高鲁棒性，引入了增益自适应技术。

项目成果

K.Sakitani et al.: "Wavelet representation of linear time-varing systems" Proc.of the 41st Annual Conference of the Institute of Systems, Control and Information Engineers. 223-224 (1997)

K.Sakitani 等人：“线性时变系统的小波表示”，系统、控制和信息工程师学会第 41 届年会论文集。

花木孝史 他: "一般化ホールドを用いた場合の2次形式評価関数の離散可について" 第41回システム制御情報学会研究発表講演会講演論文集. 311-312 (1998)

Takashi Hanaki 等人：“论使用广义保持时二次评估函数的离散性”系统、控制和信息工程师学会第 41 届年会论文集 311-312 (1998)。

Y.Iiguni et al.: "An intelligent landing system based upon a human skill model" IEEE Trans. Aerospace Eletronics Systems. 34/4. 877-882 (1998)

Y.Iiguni 等人：“基于人类技能模型的智能着陆系统”IEEE Trans。

Y.Ito et al.: "Bisection algorithm for computing the frequency response gain of sampled-data systems" Proc.of the 37th IEEE Con-ference on Decision and Control. 841-846 (1998)

Y.Ito 等人：“用于计算采样数据系统频率响应增益的二分算法”Proc.of the 37th IEEE Con​​ference on Decision and Control。

Y.Iiguni et al.: "A nonlinear adaptive estimation method based upon local approximation" IEEE Trans. Signal Processing. vo.45, no.7. 1831-1841 (1997)

Y.Iiguni 等人：“基于局部近似的非线性自适应估计方法”IEEE Trans。