基于神经网络的结构变形估计和形状控制

准确的变形估计是智能结构形状控制的前提。本文基于人工神经网络（ＡＮＮ）方法设计了智能桁架结构的变形估计器和形状控制器，根据结构系统有限数目的测量值可以估计结构变形并用于形状控制。该方法同时适于处理结构非线性问题。算例表明方法的可行性与有效性。

Shape Estimation and Control of Intelligent Structures Using Artificial Neural Networks

Accurate shape estimation is a key to shape control of intelligent structures. In this paper, the shape estimator and controller of intelligent truss structures are developed by using Artificial Neural Networks (ANN), through which the current deformed state of the structures can be inferred and regulated from a limited number of on line measurements and actuations. And such a model may be used to deal with nonlinear problems of the structures as well. A numerical example is given to demonstrate the validation and effectiveness of the method.