Studies on structural identification and inteligent control system of seismic response

1.提出了一种基于扩展卡尔曼滤波的多自由度结构滞回退化模型的结构参数识别方法(EK-WGI法)。数值结果表明，即使在严重非线性的情况下，本方法也能很好地预测结构的线性和非线性行为。然而，估计的参数并不是很令人满意，特别是对结构响应不敏感的非弹性参数。2.提出了一种通过学习由系统动力学模型表示的相关动态系统来解除自关联的技术。为了证明这一逻辑问题的正确性，对一个单自由度线性系统进行了辨识的数值试验。在SD模式的Skelton是精确的例子中，对线性单自由度系统进行了稳定的辨识。然而，在采用矿石复杂SD模型的例子中，观察到…各环节权重的t值趋于收敛甚至发散，尽管水平分量被正确识别。3.似乎需要将某些数学工具集成到SD模型中。在这一点上，神经网络的联想技术可以作为手段。为了获得规则的定向学习，有效地利用结构学习被认为是解决参数和系统辨识问题的一种替代方法。在递归网络的学习中，提出了一种全局和局部迭代过程，以获得稳定和快速的收敛。4.提出了一种利用自适应控制理论综合最优控制器的方法。最优控制的设计过程包括结构的辨识和控制器的综合，提出了一种用于结构参数估计的加权局部迭代迭代线性滤波平滑器(WILFS)。基于该算法辨识出的物理模型，最优控制器易于综合。通过计算机仿真，验证了Wilf方法在最优控制中的有效性。较少

The main results of this study may be summarized as follows :1.A metod was presented to identify the structural parameters on a hysteretic and degrading model for multidegree of fredom structure by the Extended Kalman filter (the EK-WGI method). Numerical results show that the present method predicts the linear and nonlinear behavior of the structure vary well even for the case withsevere nnlinearity. However, the estiated parameters are not quite satisfactory, particulary for inelastic parameters which are insensitive to the structura respnse.2.A undating technique to autoassociate by learning a concerned dynamic system, which is represented by a system dynamics odel, was proposed. To justify the ogical problem, a numerical test was carried out for identification of a SDOF linear system. In example in which the skelton of a SD mode is precise, stable idetification was made on a linear SDOF system. However, in example in which a ore complicated SD model is employed, it was observed tha … More t values of weights n each link tend to converge other vaues than exected or even diverge, althugh level components are identified properly.3.It seems that some mathematical device needs to be integrated into the SD model. As this regard, neural network's atoassociate techniques might serve as the means. In order to obtain a regularly directed learning, effective use of the structural learng was cnsidered as an alternative methd for parmeter and system identificatin problems. A global and local iteratin procedure was proosed to obtan stable ad fast cnvergency in the learning of recurrent networks.4.A method to synthesize an ptimal controller by using adaptive control theory was presented. The design procedure of the ptimum control consists of an identifiation of the structure and a synthesis of the controller The iterated linear filter-smoother with weighted local iteration (WILFS) was proposed to use in the estimation of the structural parameters. The otimal controller was easy to be synthesized based on the hysical model identified by this algorith. By carrying out comuter simulations, the usefulness of WILFS method for the optimum control was veified. Less