一种新型自动化仪表用高斯基函数网络算法研究

本文提出一种新型基于高斯基函数网络的内模控制自动化仪表用算法，深入分析了高斯基函数网络内部模型和内模控制器的建立，主要结果考虑了形状参数和可变中心向量的自适应选取，仿真及温度实时控制结果表明该算法有效，具有很好的自适应性和鲁棒性，且易于实现并嵌入自动化仪表中，可应用于具有纯滞后，非线性和时变特性的被控过程。

Research on a New Automation Instrum. Algorithmbased on Gaussian Potential Function Networks

A novel automation instrument algorithm on internal model controller based on Gaussian potential function networks (GPFN) is presented. The internal model and internal model controller, respectively represented by Gaussian potential function networks, are deeply analyzed. The main result of the paper is the consideration of the adaptive selection of the shape parameter and variable center vector. Simulation and experimental analysis are thoroughly carried out to evaluate the performance of the presented algorithm. As a practical application of the proposed algorithm, a temperature real-time control system is also presented. The control results show that the proposed algorithm has better properties in terms of adaptation and robustness, and it is easily for realization,and is equipped with automation instrument. It can be applied to time delay, non-linear and time varying systems.